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[blurb] => Participants collaborated to develop a cutting-edge API builder for financial supervision, Leveling the AI Readiness Playing Field: API Innovation Hackathon
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[description] => The 2024 API Innovation Hackathon, part of the annual SupTech Week organised by Digital Transformation Solutions through the Cambridge SupTech Lab, ran virtually from December 2 to December 13, 2024 with:
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- 16 Countries represented
- 20 Mentors
- 3 Awarded teams
The hackathon focused on developing a cutting-edge API builder for financial supervision, leveraging open standards and tools to revolutionise regulatory frameworks. The goal was to create efficient, adaptable, and future-ready solutions that enhance financial authorities’ ability to manage data and intelligence flows.
Background
Financial authorities around the globe are starting to leverage next-generation suptech – including GenAI – for interactive chatbots, dynamic risk management systems, and other advanced suptech applications. Despite advancements in analytics through AI and Machine-Learning, many financial authorities are limited in the aggregate data they receive through compliance filings. Application Programming Interfaces (APIs) facilitate the automated ingestion and validation of granular data, ensuring clean data is in place and allowing everyone to harness benefits in the form of actionable and trustworthy results. Currently, financial authorities are required to provide comprehensive funding for the development and design of APIs, starting from scratch for each use case. The adoption of API standards, enabling tools and open source software can play a critical role in driving inclusive growth, fostering competition and innovation, and enhancing financial inclusion
Solution
Schema
Streamlining the development of data standards, utilising tools such as FINOS’s Morphir, OS-C, and Legend.
Builder
Crafting API documentation and libraries with tools like Swagger’s open-source editor and the Open API Specification.
Intelligence
Demonstrating how unified APIs can drive deeper and more efficient analysis, powered by the GovSpace Data Gymnasium www.govspace.io.
Access the Solutions Showcase: https://www.youtube.com/watch?v=Q0eVhlr-ZJM&list=PL9lvJiV1f-gZ789IV39E7ty9YkJ907AJ3&index=32
Watch the Awards Ceremony: https://www.youtube.com/watch?v=es_IgB9M52c&list=PL9lvJiV1f-gZ789IV39E7ty9YkJ907AJ3&index=39
Awards
Best data schema design
Recognises the team with the most effective approach to data standards and schema development. Team BOT – For seamlessly integrating financial and environmental risk data, enabling smarter, more resilient financial decision-making.
Best API builder
Awarded to the team with the most innovative, saleable and functional API solution. Team AI-Phalanx – For building APIs and dashboards to track progress on climate finance indicators, integrating IMF climate finance data, and defining API schemas per Open API standards.
Best use of open standards
Honours the team that best utilises open standards and tools to enhance their API solution. Team SupTech Newbies – For creating tools to detect and prevent mis-selling practices, protecting consumers and supporting financial system integrity.
People’s choice award
Voted on by participants and mentors, this award recognises the most popular solution.
Judging Criteria
Innovation and creativity
Novelty and uniqueness of the data schema, API builder, and intelligence solutions.
Practicality and usability
Ease of use and practical application in suptech environments at financial authorities.
Harmonisation with other stakeholders
Consideration for cost and time efficiencies for regulatory compliance and regtech integrations within supervised entities.
Impact and scalability
Potential impact on financial supervision and scalability of the solution, including incorporation of machine-readable regulation.
Technical excellence
Adherence to open standards and use of open tools.
Participation
Participants brought a wide range of expertise, including data engineers, database architects, product developers, data visualisation designers, data scientists, data analysts, and business analysts. The event welcomed teams from 16 countries, showcasing a truly global reach: Canada, Egypt, Germany, Ghana, Greece, India, Japan, Kenya, Nigeria, Saudi Arabia, South Africa, South Korea, Sudan, Uganda, United Kingdom, United States of America.
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Karin has been a driving force behind the central bank’s digital transformation as the Deputy Director for On-site Examinations at the Bank of Namibia. Her leadership in developing EagleTech, the bank’s first suptech solution, and implementing AI-powered predictive models for credit risk analysis have earned the institution recognition with the Central Banking FinTech and RegTech Global Pioneer Award. During her Residency, Karin is exploring innovative solutions to enhance end-to-end cyber risk supervision, aiming to enable proactive threat responses and build a more resilient financial system.
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[partners_text] => Cambridge SupTech Lab
[blurb] => A comprehensive suptech diagnostic and strategy development project with the Central Bank of Nigeria.
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[description] => In collaboration with the Central Bank of Nigeria (CBN), Digital Transformation Solutions and the Cambridge SupTech Lab delivered a comprehensive suptech strategy designed to modernise supervisory operations and accelerate digital transformation across the institution. The work began with an in-depth institutional diagnostic using the GovSpace Digital and Regulatory Transformation (DART) tool—a structured framework that assesses maturity across strategy, governance, people, processes, data, and technology. This diagnostic, conducted through interactive workshops, data collection, and stakeholder interviews, provided a clear picture of CBN’s current capabilities and priority gaps.
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⸻
Extended Description (Full Project Page)
The Bank of Namibia engaged DTS to lay the foundation for a digital transformation of its supervisory functions. Our team delivered a structured, end-to-end process that included:
• Institutional diagnostic: A collaborative assessment of supervisory processes, data management practices, technology infrastructure, and organisational readiness for innovation.
• Use case identification: Mapping priority SupTech applications with the highest potential to enhance risk detection, data-driven decision-making, and supervisory efficiency.
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[status] => Completed
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[blurb] => Innovation Leaders Residency 2025
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[start_date] => 2025-12-31
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Over the course of the Residency year, Innovation Leaders gain online support for the enhancement of their skills and competencies, and assistance in taking their projects to the next level, whether they are focusing on implementing the digital transformation of their business unit or on driving the development of a cutting-edge suptech application.
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[status] => Completed
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[blurb] => Power the paradigm shift in financial supervision
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[start_date] => 2026-01-19
[description] => Dive into the evolving world of AI and its transformative impact on financial supervision. From AI fundamentals to machine learning, natural language processing, and ethical considerations, this bootcamp offers invaluable insights for central banks, financial authorities, and private entities looking to innovate.
[status] => In progress
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The Central Bank of Egypt is seeking to develop a secure, accessible fees comparability portal to enhance transparency and consumer empowerment. While a Consumer Protection webpage currently exists, earlier efforts to expand it with a fees comparability tool were paused due to resource and technical constraints, specifically due to difficulties to arrange the high amounts of data and identify solutions that enable regular or ideally real-time updates.
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With product updates occurring at varying intervals (annually, semi-annually, or quarterly), the portal must balance real-time data integrity with ease of consumer use, especially given the complex and bulky nature of current fee disclosures (often PDF-based).
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[name] => Intelligence
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[partners_text] => Winnow Technologies, Cambridge SupTech Lab
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[description] => We worked with the Reserve Bank of India (RBI) and the Reserve Bank Innovation Hub (RBIH) to design and deploy an intelligent suptech platform to detect fraudulent fintech lending applications. The initiative responded to the proliferation of unregulated digital lending apps exploiting consumers through predatory rates, unauthorised data access, harassment, and blackmail.
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The system’s core features include an app discoverability engine, automated metadata and review scraping, fraud probability scoring with interpretable indicators, and periodic reports for supervisors. Designed for extensibility and transferability, the solution’s codebase and documentation were handed over to RBI for in-house operation, avoiding vendor lock-in.
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[clients_text] => New York State Department of Financial Services (DFS)
[blurb] => A comprehensive digital transformation strategy for New York Department of Financial Services, grounded in a diagnostic of current systems and workflows. The project addressed technology, data, people, and change management to modernise supervision and enhance regulatory impact.
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[TAX_DX_2_text] => Strategy and Readiness, Data Foundations and Governance, Use Case Development, Change Management and Adoption
[TAX_DOMAIN_1_text] => Financial system oversight and regulation, Digital Public Infrastructure (DPI)
[start_date] => 2021-01-01
[description] => In 2021, we partnered with the New York State Department of Financial Services (NYDFS) to conduct a comprehensive diagnostic of the agency’s technology, data, and supervisory processes, resulting in a strategic roadmap for its digital transformation.
The engagement involved:
• 120 in-depth interviews with managers, supervisors, and examiners to capture institutional knowledge and pain points.
• A review of 245 existing applications to identify redundancies, integration gaps, and technology risks.
• Regulatory research and benchmarking against leading supervisory authorities worldwide.
• A series of workshops and co-creation sessions with the Superintendent, Executive Superintendents, and leadership teams to ensure the roadmap was both visionary and grounded in operational realities.
The final diagnostic report outlined priority initiatives for modernisation, including data governance, cloud migration, AI readiness, and the establishment of a coherent supervisory technology strategy. It served as a foundation for change during a leadership transition, helping NYDFS align its mission with future-ready systems and processes.
According to Justin Friedman, Assistant Deputy Superintendent for Innovation at NYDFS:
“The engagement produced a diagnostic report and roadmap for transformation, which proved invaluable during a leadership transition. DTS’s work laid the foundation for advancements such as appointment of the agency’s first CTO, launching a data governance program, and migration to cloud computing.
The team excels at linking client’s mission to technological needs, but their superpower is the way they build trust. Their genuine curiosity is disarming, enabling them to bring stakeholders on board to contribute their institutional knowledge and insights. Their dedication sparked enthusiasm for modernization within our agency, inspiring many personnel to pursue professional development opportunities to enhance their data competency. Their vision continues to shape the agency’s effectiveness in licensing, supervision, and enforcement.”
This project helped NYDFS spark a cultural shift toward modernisation, strengthen data competency across teams, and create a strategic foundation for ongoing innovation in licensing, supervision, and enforcement.
[status] => Completed
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[name] => Foundational Support for the Development of a Data Warehouse and Data Governance Framework
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[clients_text] => National Bank of Moldova (BNM)
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[blurb] => This project was implemented through the 'Public-Private Secondments for SupTech Innovation' initiative between the National Bank of Moldova and DANA Indonesia.
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[description] => The Public-Private Secondments for SupTech Innovation initiative pairs highly trained experts from the private sector with financial authorities around the world for short-term, remote and in-person secondments that accelerate the digital transformation of financial supervision, leading to a more efficient, safer and sounder global financial system.
The purpose of this project is to support the National Bank of Moldova (NBM) in the initial exploratory phase of its efforts to develop a centralized data warehouse and a supporting data governance framework. The project will focus on foundational research, peer learning, and technical experimentation to assess the feasibility and inform the future design of such a system.
The collaboration will begin with a review of existing reports and internal documentation, followed by structured peer learning engagements with other central banks that have implemented similar data infrastructure projects.
Drawing on these insights, the project team will then support NBM in conducting a feasibility study and mapping existing data schemas across its supervisory and operational systems. The findings will serve to inform NBM’s internal decision-making on whether and how to proceed with a future phase, which may involve further technical development, architecture design, and governance planning. Any next steps beyond this initial research phase will be subject to separate consideration and agreement.
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[clients_text] => University of Cambridge
[blurb] => Catch the wave of digitalisation toward the future of data-driven intelligence
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[description] => As finance becomes more digital and data-rich, supervision must evolve. This course bridges data science and supervisory practice, equipping supervisors to harness new tools and untapped data sources. It also empowers data scientists to build impactful, innovative suptech applications for the public good.
[status] => In progress
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[name] => Teresa Oino, Assistant Manager, Policy and Strategy
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[partners_text] => Insurance Regulatory Authority of Kenya
[blurb] => Innovation Leaders Residency 2025
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[TAX_DOMAIN_1_text] => Financial system oversight and regulation
[start_date] => 2025-12-31
[description] => Teresa Oino is one of the 12 members of the 2025 cohort of the Innovation Leaders Residency.
Teresa is the Assistant Manager for Policy and Strategy at the Insurance Regulatory Authority of Kenya, where she developed a robust complaints resolution system that has enhanced consumer protection and strengthened regulatory compliance in the insurance sector. Teresa conducted research on the role of data in financial inclusion as a graduate of the Fletcher School Leadership Program for Financial Inclusion. During her Residency, Teresa is employing geospatial analysis of insurance usage in Kenya. Teresa will leverage FinAccess Household Survey data to uncover valuable insights that can enhance supervisory frameworks and promote equitable insurance services.
Over the course of the Residency year, Innovation Leaders gain online support for the enhancement of their skills and competencies, and assistance in taking their projects to the next level, whether they are focusing on implementing the digital transformation of their business unit or on driving the development of a cutting-edge suptech application.
[status] => In progress
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[clients_text] => Financial Regulatory Commission of Mongolia (FRC)
[partners_text] => Regnology, BR-AG P.S.A.
[blurb] => This project was implemented through the 'Public-Private Secondments for SupTech Innovation' initiative between the Financial Regulatory Commission Mongolia, BR-AG P.S.A. (Regnology)
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[description] => The current regulatory environment for Financial Regulatory Commission Mongolia presents challenges in timely data collection, limited automation, and high resource demands for manual data validation. These limitations hinder real-time decision-making, efficient compliance, and risk detection capabilities.
FRC Mongolia and BR-AG (Regnology) have therefore initiated this collaboration under the 'Public-Private Secondments for SupTech Innovation' initiative to develop a suptech strategy that supports the agency in understanding and prioritizing suptech-related opportunities within the unique local context. The roadmap will lay out opportunities of leveraging automation, data analytics, and advanced digital tools to overcome these challenges.
The Public-Private Secondments for SupTech Innovation initiative pairs highly trained experts from the private sector with financial authorities around the world for short-term, remote and in-person secondments that accelerate the digital transformation of financial supervision, leading to a more efficient, safer and sounder global financial system.
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[clients_text] => Banco de la Republica de Colombia (BRC)
[blurb] => Diagnosis of inefficiencies in FX transaction data workflows and co-creation of POCs for SupTech applications.
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[description] => The Central Bank of Colombia (BanRep) relies on granular foreign exchange (FX) transaction data to fulfil its mandates on monetary policy, exchange rate policy, financial stability, and market reporting. Before this project, BanRep faced several challenges in its data collection processes:
• Limited coverage: FX transaction data was collected mainly from regulated intermediaries (IMCs), excluding fintech firms and crypto exchanges active in the market.
• Fragmented systems: Multiple non-interoperable platforms hindered efficient data sharing and integration.
• Timeliness issues: Data was received with delays, affecting BanRep’s ability to respond to market changes.
• Operational inefficiencies: Manual processing steps created risks, increased costs for intermediaries, and slowed supervisory analysis.
DTS delivered a three-part engagement to help BanRep address these pain points:
1. Comprehensive diagnostic: We analysed existing data collection workflows, pain points, and technology gaps, identifying opportunities to increase efficiency, data timeliness, and market coverage.
2. Design Sprint: We brought together BanRep’s data, supervision, and IT teams in a collaborative sprint to co-design a SupTech proof of concept (PoC) for real-time monitoring of FX transactions, integrating data from IMCs, fintechs, and crypto platforms.
3. Blueprint for implementation: We produced a detailed report outlining the business case, technical specifications, and project charter, including change management recommendations and guidelines for scaling the solution.
This engagement laid the foundation for a modernised FX data collection and monitoring system, helping BanRep reduce manual burdens, close coverage gaps, and improve the timeliness and quality of FX market intelligence. The PoC created during the project serves as a stepping stone for future deployment of a fully integrated SupTech solution, aligning BanRep’s data capabilities with the demands of a rapidly evolving FX market.
[status] => Completed
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[name] => Kris Wright, Product Strategist and Lead, Forward Lab
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[partners_text] => Financial Transactions and Reports Analysis of Canada (FINTRAC)
[blurb] => Innovation Leaders Residency 2025
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[start_date] => 2025-12-31
[description] => Kris Wright is one of the 12 members of the 2025 cohort of the Innovation Leaders Residency.
As Product Strategist and Lead in the Forward Lab at the Financial Transactions and Reports Analysis Centre of Canada (FINTRAC), Kris transforms ideas into strategic prototypes and action plans. With two decades of experience at the financial intelligence unit, Kris has built AI and large language models to boost staff efficiency and enhance operations, and introduced big data solutions for network resolution and risk scoring.
During his Residency, Kris is working on pioneering a secure, real-time information access system, to transform how the agency collaborates with regime partners. The project will include a comprehensive blueprint to accelerate analytical processes through an innovative suptech solution while steadfastly respecting the agency's arm's length mandate and legislation on privacy rights.
Over the course of the Residency year, Innovation Leaders gain online support for the enhancement of their skills and competencies, and assistance in taking their projects to the next level, whether they are focusing on implementing the digital transformation of their business unit or on driving the development of a cutting-edge suptech application.
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[funders_text] => Gates Foundation (GF)
[name] => Financial Market Monitoring via Social Media and Web Extraction Advanced Analytics Platform
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[clients_text] => Superintendencia de Banca Seguros y AFP (SBS), University of Cambridge
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[partners_text] => FNA, Winnow Technologies, Cambridge SupTech Lab
[blurb] => AI-powered analysis of social media and web data to detect early signals of market misconduct.
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[start_date] => 2023-05-30
[description] => We partnered with the SBS of Peru to design and deliver a working prototype that leverages artificial intelligence and advanced analytics for market conduct supervision.
The project aimed to overcome challenges in processing vast amounts of unstructured, web-based data related to financial services, enabling SBS to move from reactive to proactive oversight. Key steps included:
• Diagnostic and design: Identified pain points in existing tools, mapped supervisory needs, and defined requirements for automated monitoring and analysis of online public data.
• Lean procurement: Ran a global competitive process to select a technology vendor capable of developing advanced natural language processing (NLP) and machine learning models for this use case.
• Agile development: Collaborated with Financial Network Analytics and Winnow Technologies to create a prototype capable of scraping and analysing hundreds of thousands of public posts, classifying them by topic and sentiment, and providing real-time alerts.
• Interactive dashboards: Delivered data visualisations that allow SBS supervisors to track consumer sentiment, detect anomalies, and flag potential misconduct across financial institutions more effectively.
This solution demonstrates how AI and data science can expand supervisory capabilities, allowing financial authorities to spot risks earlier, investigate faster, and make more informed policy decisions. The approach avoids vendor lock-in, granting SBS a perpetual license and flexibility to refine and scale the solution in-house or with other partners.
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[status] => Completed
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[name] => Suptech Readiness Assessment and Roadmap Development
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[lab_lead] => Jose Miguel
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[end_date] => 2024-06-30
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[clients_text] => National Bank of Moldova (BNM), University of Cambridge
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[blurb] => Designing the National Bank of Moldova’s first suptech strategy and implementation roadmap.
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[description] => Through the Cambridge SupTech Lab, we partnered with the National Bank of Moldova (NBM) under the USAID MISRA programme to develop the institution’s first comprehensive, agency-wide suptech strategic framework. This initiative was grounded in a detailed diagnostic of NBM’s supervisory functions, processes, data flows, and technology environment. Over a series of collaborative workshops with senior leadership, technical teams, and supervisory departments, we defined the strategic vision and objectives for suptech adoption, linked directly to NBM’s broader institutional mandate.
The resulting strategy is designed to accelerate NBM’s digital transformation, with a focus on strengthening data quality, operational efficiency, risk-based supervision, and analytical capabilities. It sets out a phased implementation roadmap that balances quick wins with long-term investments, ensuring sustainability and scalability over time.
Key elements of the strategy include the design of an integrated reporting and communication platform for regulatory filings and secure two-way engagement with supervised entities; the adoption of APIs to automate granular data ingestion and validation; and the creation of a centralised data warehouse and data lake to unify and structure supervisory data for advanced analytics. The framework also specifies the introduction of advanced analytics and AI/ML applications—such as social and web media scraping, automated PDF data extraction, named entity recognition (NER), topic modelling, and trend analysis—to support early warning, thematic reviews, and proactive supervisory interventions.
To ensure long-term impact, the strategy embeds a robust data governance framework, including a unified data model and data catalogue, clear policies for data quality and lifecycle management, and role-based access controls. It also outlines the architecture for secure, resilient systems, incorporating cloud computing for scalable analytics and GPU-enabled AI model training, encryption, penetration testing, and redundancy measures.
By aligning technology investments with governance, skills development, and organisational change management, the suptech strategy positions the National Bank of Moldova to adopt modern supervisory technologies in a coherent, cost-effective, and future-proof manner—while strengthening its ability to deliver on its public mandate.
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[blurb] => Innovation Leaders Residency 2025
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[description] => Joe van der Lith is one of the 12 members of the 2025 cohort of the Innovation Leaders Residency.
With expertise as both a regulatory attorney and a certified software developer, Joe is a Regulatory Specialist at the FSCA South Africa. Joe is currently completing his doctorate in FinTech Law and serves on various intergovernmental groups, including as Deputy Chair of the Crypto Asset Regulatory Working Group, comprising members from various regulatory authorities in South Africa. During the Residency, Joe is developing an AI-powered complaints management system drawing data from various complaint sources and expressions of dissatisfaction through sentiment analysis.
Over the course of the Residency year, Innovation Leaders gain online support for the enhancement of their skills and competencies, and assistance in taking their projects to the next level, whether they are focusing on implementing the digital transformation of their business unit or on driving the development of a cutting-edge suptech application.
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[blurb] => This project was implemented through the 'Public-Private Secondments for SupTech Innovation' initiative between Central Bank of Egypt & Abhi Pvt Ltd.
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[description] => Across many financial systems, consumer complaints represent one of the most critical but under-leveraged sources of supervisory intelligence. The Central Bank of Egypt (CBE), like many peer institutions, receives thousands of complaints from the public each year. However, these are often submitted in unstructured formats: handwritten letters, scanned images, PDFs, and forms in Arabic and English. Manually reviewing, classifying, and acting upon such data was time-consuming and prone to inconsistencies.
To overcome this challenge, the CBE decided to explore the use of AI technologies to automate the extraction and structuring of complaint data. Through the Public-Private Secondments for SupTech Innovation initiative, the University of Cambridge SupTech Lab and the World Economic Forum brought in a dedicated seconded team from Abhi, a fintech infrastructure company based in Pakistan. The team included experts in OCR, natural language processing, and large language models, who collaborated directly with CBE’s supervision and IT departments.
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- Ensuring that the solution could be deployed on-premise, with no reliance on cloud infrastructure.
The Public-Private Secondments for SupTech Innovation initiative pairs highly trained experts from the private sector with financial authorities around the world for short-term, remote and in-person secondments that accelerate the digital transformation of financial supervision, leading to a more efficient, safer and sounder global financial system.
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[start_date] => 2025-12-31
[description] => Raza Bakir Shah is one of the 12 members of the 2025 cohort of the Innovation Leaders Residency.
He is the Joint Director of the Banking Supervision Department at the State Bank of Pakistan, where he has played a pivotal role in regulatory reforms, particularly in enhancing the enforcement regime for Exchange Companies.
Raza is a graduate of the Cambridge SupTech Lab course on ‘Practical Data Science for Financial Supervision’, leveraging his insight on using advanced technologies including machine learning and large language models to improve supervisory processes. During his Residency, Raza will work towards building a comprehensive risk assessment framework for financial institutions that could serve as a dashboard displaying risk metrics at both macro and micro levels. In addition, Raza will conduct research to assess how bias in pre-trained models plays out locally to better understand potential needs for regionalisation and localisation.
Over the course of the Residency year, Innovation Leaders gain online support for the enhancement of their skills and competencies, and assistance in taking their projects to the next level, whether they are focusing on implementing the digital transformation of their business unit or on driving the development of a cutting-edge suptech application.
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Pamela's project with the Innovation Leaders programme focused on exploring to explore suptech applications using high-frequency analytics of liquidity risks in supervised entities as well as following her goal of bringing her personal platform to the next level, focused on financial education of consumers.
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[blurb] => Participants collaborated to develop a cutting-edge API builder for financial supervision, leveraging open standards and tools.
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• Gap analysis and opportunity mapping: Identifying inefficiencies, data bottlenecks, and high-value use cases for SupTech applications across banking and payments oversight.
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• Phased action plan: Outlining practical steps for early implementation, vendor engagement, capacity development, and organisational change management to ensure sustainability.
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When joining the Residency, Francisco was the Deputy Director of Supervisory Methodologies and Corporate Governance at Superintendencia Financiera de Colombia. During the Residency year, Francisco was promoted to Director of Research, Innovation and Development.
Francisco previously completed both the Practical Data Science in Financial Supervision and the Product & Organisational Innovation training programmes at the Cambridge SupTech Lab. As part of his Residency, Francisco drove a project with the aim to incorporate his learnings of new analytical tools and supervisory methodologies into a holistic suptech strategy that makes financial supervision more agile with new business models.
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[clients_text] => University of Cambridge
[partners_text] => Alliance for Innovative Regulation (AIR), Cambridge SupTech Lab
[blurb] => Participants tackled real-world challenges by creating cutting-edge tools for consumer complaints analysis, leveraging AI and advanced data analytics.
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[description] => Through the Cambridge SupTech Lab, we Digital Transformation Solutions collaborated with the Alliance for Innovative Regulation to implement the SupTech Hackathon 2023: “Beyond Chatbots: Consumer Complaints Analytics.”
This event, held virtually from July 26 to August 4, 2023 convened data scientists, innovators, and technologists from around the globe. The overarching goal was to harness their expertise to effect positive change in the realms of financial consumer protection and market conduct. Focusing on this year’s theme, the hackathon solicited innovative solutions to empower financial supervisory agencies with the capability to extract actionable insights from consumer complaints and supervisory data. Notably, the event spotlighted advanced analytics of complaint data sourced from governmental portals, alongside the potential of innovative chatbot technologies.
This online hackathon was geared toward teams or individuals with skills in data science and analysis, business analysis, product management, software development, database administration, data visualisation, team leaders, and/or other skills valuable in exploring solutions using advanced technology.
Additionally, teams were supported by financial supervision and regulation experts who have in-depth knowledge about the challenges that financial authorities, regulators and supervisors face in collecting and utilising consumer complaint data.
The hackathon drew participation from a wide array of global stakeholders, representing 14 countries: Australia, Brazil, Canada, Egypt, India, Kenya, Malaysia, Nigeria, Pakistan, Philippines, Peru, Singapore, United Kingdom and United States of America.
During this hackathon we explored existing customer complaint’s data (shared by partnering financial authorities) and the standardisation of data schemas to identify trends, correlations and patterns with the goal of generating useful information for both consumers and the financial authorities. As a result, financial authorities were able to shift towards data-driven decision-making, proactive issue resolution, customer-centric service and standardised processes to strengthen their supervisory capabilities, enabling them to effectively safeguard and empower financial consumers.
Teams generated innovative solutions that addressed the following needs:
1. Data Exploration and Analysis
- Develop algorithms or techniques to identify patterns, correlations, and anomalies in consumer complaint data
- Uncover hidden connections and commonalities among complaints that may indicate systemic issues or unethical practices
- Implement data mining and machine learning approaches to uncover valuable insights beyond complaint classification
- Build visualisation tools to present findings and facilitate a deeper understanding of underlying issues and customer behaviors
- Design methods to identify early warning signs of harm and instability in order to enhance consumer protection and improve industry practices
2. Data Limitations And Detection Capabilities
- Identify and address limitations in the available data that may hinder the detection of systemic risk assessment
- Evaluate the capabilities of the existing data sources and propose improvements or alternative data collection methods
- Implement data cleansing and preprocessing techniques to ensure data quality and reliability
3. Optimised Data Schema
- Define a core set of parameters for a consumer complaint data schema that enables efficient consumer resolution and fosters useful analytics
- Identify the structure and anatomy of a complaint to determine the essential fields for comprehensive data collection and analysis
- Consider barriers to entry and completion when designing the data schema to reduce abandoned complaints.
Judging criteria
Judges assessed creativity and innovation, speed to market, and how transformative the solution could be. More specifically, given that our primary goal was to drive ecosystem-wide exploration of the data and a diversity of insights and results, we identified solutions that stand out across several factors, including:
- Value for financial regulation supervisors: Complaints systems necessarily involve value for the supervisors who interact with and use these systems daily, and who will be available during the week to advise
- Value for financial institutions and end users of financial services: Top solutions should explicitly identify hypotheses as to how their approaches could lead to increased value for supervised entities and financial citizens.
- Incorporation of available data: Top solutions will have used all provided datasets, referencing gaps and particularly useful data points where applicable
- Solution feasibility: A key component of the top solutions will be to explicitly discuss feasibility of the technical approach, as well as considering the process of integration in rolling out these solutions
Novelty: Uniqueness of the approach within the suptech space will also be considered in evaluating results
Incentives and benefits for participants
Solutions that are identified as having stood out were:
- Spotlighted in our websites and communication gaining exposure to potential sponsors and partners
- Featured during SupTech Week, a global event hosted by the Cambridge SupTech Lab in the Fall 2023
- Considered for prototyping and deployment in partnership with financial authorities through the Cambridge SupTech Lab Launchpad
- Showcased to fellow data scientists and technologists in the Data for Good community
Awards
Central to the event was a panel discussion that explored the importance of harnessing customer data to enhance consumer protection. The panel deliberated on strategies to overcome the challenges hindering the implementation of solutions in this domain. Esteemed members of the panel included Jo Ann Barefoot, CEO & Co-Founder of the Alliance for Innovative Regulation, as the Panel Chair. The culmination of the hackathon witnessed the recognition of outstanding contributions through a set of awards. Chaired by Matt Grasser, the panel of judges, comprised of industry leaders, evaluated the prototypes submitted by participants. Three distinct awards were conferred:
1. Breakthrough Award: Recognising the prototype most poised for deployment into production and use by financial regulatory authorities
2. Eureka Award: Celebrating the prototype that captured the judges’ attention through its creativity and ingenuity
3. Jump Award: Honoring the prototype with the highest potential to drive transformative change in regulatory oversight and supervision, resulting in a significant leap forward
With the successful conclusion of the hackathon, which boasted the participation of 40 hackers across 5 teams, as well as an audience representing approximately 90 regulated entities from diverse corners of the world, the event achieved its intended impact. The innovative ideas and presentations generated during the hackathon will be thoughtfully reviewed and potentially incorporated into future initiatives by the Cambridge SupTech Lab and Digital Transformation Solutions.
Watch the Demo Day video of the SupTech Hackathon 2023
Beyond Chatbots: Advanced Consumer Complaints Analytics
https://lab.ccaf.io/video/beyond-chatbots-suptech-hackathon-2023-demo-day/
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[clients_text] => World Bank (WB)
[partners_text] => CGAP
[blurb] => Research briefs for the CGAP team of financial authorities and i) data governance, ii) data granularity in relations to diversity and inclusiveness.
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[TAX_DOMAIN_1_text] => Financial system oversight and regulation, Digital Public Infrastructure (DPI)
[start_date] => 2025-03-01
[description] => DTS implemented for CGAP, part of the World Bank, a series of pioneering research projects designed to strengthen how financial authorities govern, manage, and use data for inclusive and resilient financial systems. These projects generated actionable insights and practical frameworks to support supervisory agencies worldwide in building responsible, high-quality, and equity-focused data ecosystems.
The Challenge
Supervisory authorities face growing demands for better, faster, and more granular data to effectively monitor market conduct, inclusion, and risks. Yet, fragmented data governance, inconsistent taxonomies, and lack of shared data standards limit the ability of regulators to capture the full diversity of financial consumers, especially women, rural populations, and other underserved groups.
CGAP engaged DTS to map global practices, identify gaps, and propose solutions that would help financial authorities:
• Establish robust data governance frameworks to ensure data quality, integrity, security, and responsible use.
• Enhance data granularity to go beyond topline indicators and capture differences in access, usage, and outcomes across population segments.
• Build a stronger evidence base for inclusive policymaking, aligned with responsible data principles.
Our Work
Over a multi-month engagement, DTS conducted extensive research, interviews, and analysis with supervisory authorities globally, combining academic rigor with practical, field-tested insights. The project was delivered in two main workstreams:
1. Data Governance for Financial Authorities
We developed a research brief outlining:
• Best practices and standards in regulatory data governance, covering data collection, validation, storage, access, and sharing.
• Institutional governance models to clarify data stewardship roles and responsibilities within supervisory agencies.
• Ethical and responsible data use frameworks, including privacy safeguards, data rights of consumers, and accountability mechanisms for supervisory data handling.
• Recommendations for capacity building and infrastructure investments, enabling supervisors to build resilient and trustworthy data ecosystems.
2. Data Granularity for Diversity and Inclusion
This second research brief explored:
• The importance of granular data to uncover barriers faced by specific population groups, including gender-based disparities, rural-urban divides, and usage gaps.
• Global benchmarks and case studies where granular data has improved policy outcomes (e.g., women’s access to credit, quality of agent networks).
• Taxonomies and reporting templates that enable supervised entities to provide disaggregated and standardised data without excessive reporting burdens.
• Roadmaps for financial authorities to improve granularity in both regulatory and voluntary data flows, supporting inclusive market development.
Outputs
The project delivered:
• Two Research Briefs, designed for practical use by financial authorities, summarising findings, tools, and actionable recommendations for:
1. Data governance frameworks
2. Data granularity for diversity and inclusiveness
• Global landscape mapping of supervisory data practices across multiple jurisdictions.
• Policy guidance notes highlighting quick wins and longer-term investments for inclusive data strategies.
• Insights that are now informing CGAP’s global dialogue with regulators, standard-setters, and development partners on building data ecosystems for financial inclusion.
Impact
These research projects are shaping:
• Better data practices within supervisory authorities globally, leading to more reliable, consistent, and comparable market data.
• Improved inclusion policies, as regulators gain visibility into who is served, who is left out, and why, enabling targeted interventions.
• Greater collaboration between supervisors, financial service providers, and development partners on open data, shared taxonomies, and ethical standards.
[status] => Completed
[TAX_TECH_1_text] => Data Processing + Validation, Data Collection, Data Processing + Validation
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[name] => SupTech Training for the Chilean Comisión para el Mercado Financiero (CMF)
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[name] => Diagnostic and AI Readiness Assessment
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[blurb] => Diagnostic and AI Readiness Assessment
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[start_date] => 2025-11-09
[description] => The digital transformation of certain processes within the NSSMC can enhance the accuracy and efficiency of regulatory and supervisory decision-making while directing institutional resources toward their most impactful use. The internal transformation through the adoption of proven SupTech solutions should be gradual and requires a thorough diagnostic assessment of the most pressing areas and pain points in current regulatory, supervisory, and internal processes. This diagnostic will provide a comprehensive assessment of current supervisory capabilities across NSSMC’s supervisory mandate, focusing on relevant digital infrastructure, data availability, manual and automated processes, and key supervisory use cases. It will evaluate the regulator’s relevant departments/units involved in the digital transformation of its supervisory functions. The goal is to identify priority areas and use cases best suited for digital transformation and SupTech adoption.
Activities will involve developing and applying the Diagnostic and AI Readiness Tool (DART) that enables the NSSMC to identify supervisory processes that would most benefit from SupTech solutions. Use cases might include cross-entity analysis under prudential supervision, automated processing of licensing applications, real-time monitoring, consumer fraud detection tools, and more. In addition to fully completing the DART, the Lab will conduct a series of interviews with relevant stakeholders across different departments within NSSMC to capture key internal organizational structures and processes, designing a comprehensive questionnaire to guide the diagnosis of key challenges and opportunities for Ukrainian authorities to adopt solutions for priority areas.
The output of this workstream will be a tailored diagnostic for the NSSMC, helping it prioritize areas for automation through SupTech adoption. Additionally, the CCAF team will provide guidance on selecting the most suitable technological solutions for these priority areas. This diagnostic will serve as a foundation for potential further support in implementing SupTech solutions within the identified priority areas.
[status] => In progress
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[funders_text] => Gates Foundation (GF)
[name] => Laura Lopez Maldonado, Chief, Insurance Supervision
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[partners_text] => Superintendencia de Banca Seguros y AFP (SBS)
[blurb] => Innovation Leaders Residency 2024
[TAX_DX_2_text] => Upskilling and Reskilling
[TAX_DOMAIN_1_text] => Financial system oversight and regulation
[start_date] => 2024-01-01
[description] => Laura Lopez is one of the 11 members of the 2024 cohort of the Innovation Leaders Residency.
During the Residency year, Laura was promoted to Chief of Insurance Supervision at the Superintendencia de Banca, Seguros y Administradoras de Fondos de Pensiones del Perú. During her Residency, Laura advanced research focused on enhancing insurance supervision in the digital age, as well as developing an institutional training plan and a roadmap for data management to generate positive impacts for supervisory agencies and society.
Over the course of the Residency year, Innovation Leaders gain online support for the enhancement of their skills and competencies, and assistance in taking their projects to the next level, whether they are focusing on implementing the digital transformation of their business unit or on driving the development of a cutting-edge suptech application.
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[name] => Machine Readable Versions of Guidelines and other Regulatory Requirements
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[partners_text] => TSO (The Stationery Office)
[blurb] => This project was implemented through the 'Public-Private Secondments for SupTech Innovation' initiative between the Bank of Mauritius and TSO.
[TAX_TECH_3_text] => CV: Optical character recognition, Extract Load Transform Tools, Other natural language processing, Text summarization, NLP: Topic modeling, Graph and network analytics
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[TAX_DX_2_text] => Data Foundations and Governance, Proofs of Concept
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[TAX_DOMAIN_2_text] => Compliance assistance, Licensing and authorisations
[start_date] => 2025-05-01
[description] =>
Bank of Mauritius identfied several problem statements including:
- Processes to revise and update regulations, guidance and standards are time consuming and impact on accuracy.
- Firms can find it hard to understand or contextualise rules and embed them into their working practices.
- Authoritative information is locked up in PDFs and is difficult to access, manage and navigate.
- Regulators have limited time, expertise and solutions to solve these problems.
Through the 'Public-Private Secondments for SupTech Innovation' initiative TSO developed a PoC to test whether machine readable versions of guidelines and regulatory requirements are likely to improve the supervision of firms within Mauritian financial services.
The proposed solution was to deploy a SaaS-style web-based suite of components which perform the following tasks:
- Ingestion of existing content (typically sourced from PDF documents)
- Transformation of the input format to JSON
- The ability to view, edit and publish the digitised content
- Output of digitised content in HTML, JSO and PDF
The Public-Private Secondments for SupTech Innovation initiative pairs highly trained experts from the private sector with financial authorities around the world for short-term, remote and in-person secondments that accelerate the digital transformation of financial supervision, leading to a more efficient, safer and sounder global financial system.
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[status] => Completed
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[name] => NextGenAI: Tech Showcase 2024
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[end_date] => 2024-04-30
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[clients_text] => University of Cambridge
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[partners_text] => Alliance for Innovative Regulation (AIR)
[blurb] => A showcase of next-generation AI technologies aimed at transforming the financial and regulatory landscape. Innovators demonstrated how their solutions can advance ecosystem-wide collaboration.
[TAX_TECH_3_text] => NLP: Sentiment analysis, NLP: Topic modeling, NLP: Large Language Models
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[TAX_DOMAIN_2_text] => Consumer protection and market conduct supervision, Compliance assistance
[start_date] => 2024-01-01
[description] => Advancements in technology happen at a rapid pace and financial authorities need to understand, adapt and embrace these changes. The NextGenAI Tech Showcase, hosted by Cambridge Suptech Lab with Alliance for Innovative Regulation (AIR), allowed financial authorities to understand the power and possibilities of GenAI, and explore solutions that could be leveraged for more efficient and effective consumer protection and supervision.
Various Gen AI-enabled solutions were demonstrated virtually, over three sessions. Each session catered to different themes aligned with the roundtable discussions on the advantages and concerns surrounding the use of Gen AI in the realm of financial regulation and supervision. Explore key learnings from the showcase here Key Learnings from NextGenAI Tech Showcase https://regulationinnovation.org/wp-content/uploads/2024/07/Key-Learnings-from-NextGenAI-Tech-Showcase.pdf
Sample Use Cases:
1. Data Analysis and Monitoring
- Generate synthetic data for data anonymisation.
- Interpret and summarise both structured and unstructured data. Unstructured data could include consumer complaints, in which natural language processing (NLP), topic modeling and sentiment analysis can be conducted to identify trends, patterns, and clusters.
- Extract insights from the extensive data held by financial regulators, including information from financial statements, regulatory compliance reports, consumer complaints, and corporate governance disclosures.
2. Risk Assessment
- Offer detailed risk assessment tools that enable financial regulators to derive crucial credit risk benchmarking metrics, such as the debt-to-equity ratio, non-performing loans ratio, and return on assets ratio, from the data stored in their repositories.
- Detect and interpret meaningful patterns inherent in the reporting data.
- Identify security flaws in financial systems by providing advanced capabilities for anomaly detection, testing, analysis, and continuous monitoring.
3. Compliance Automation
- Translate rules/regulations into supervisory processes and corresponding compliance forms/templates.
- Assist with coding tasks such as providing code completion suggestions, generating specific task-oriented code snippets, rectifying bugs, and code related documentation. This is intended to increase efficiency of the compliance process by ensuring standardised compliance patterns throughout the development lifecycle, generating detailed audit trails, and enabling quick adaptation to regulatory changes.
4. Consumer Protection
- Compare all available offerings for a particular financial product or service to identify the best option and serve as a consumer education tool.
- Provide context-sensitive language translation of financial information and multilingual support.
- Empower consumers’ financial literacy by providing assistance through virtual assistants or chatbots for various financial services-related procedures. A function of the virtual assistant could be to detect and respond in an appropriate language using conversational content from specified data sources, including links to websites, PDF documents, and other unstructured data.
5. Fraud Detection
- Provide insights into potentially deceptive activities. This could involve examining various indicators, such as an increase in complaints regarding hidden fees, lending rates exceeding stipulated terms and conditions, and a disproportionate rise in borrowings against collateral, among others.
6. Policy Development
- Generate regulatory documents and materials (content creation). For example, an application could involve promoting data-driven regulation by creating new policies or modifying existing ones. This could be achieved through extensive analysis of compliance data, resulting in better informed regulatory decisions.
7. Decision Support
- Interpret company disclosures and other digital reports.
- Prior to implementing, facilitate the evaluation of policies through policy simulation. In the context of banking, conduct back-testing to assess the impact of proposed policy changes, considering factors such as alterations in collateral threshold for borrowings, adjustments in lending to certain sectors or demographics, and changes in loan portfolio.
- Conduct analysis of extensive historical and current data to support the licensing process. As an example, a typical bank licensing process includes examining the applicant’s business plan, feasibility study, financial statements, compliance and operational history, as well as previous policies and practices. Generating insights from the aforementioned data provides financial regulators with a comprehensive understanding of the applicant’s track record.
- Facilitate the resolution of lawsuits for financial regulators. This could include analysing documentation, depositions, and reports that are in the form of unstructured data to provide useful insights. Additionally, it could also serve as an effective case management solution.
- Support financial regulators as a virtual assistant in retrieving information and generating reports.
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[status] => Completed
[TAX_TECH_1_text] => Data Processing + Validation, Data Processing + Validation, Data Processing + Validation, Data Products, Data Products
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[funders_text] => Gates Foundation (GF)
[name] => Financial Market Monitoring through Complaints Data Analysis
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[lab_lead] => Nathalie
[TAX_ENGAGEMENT_TYPE_text] => Application Incubation, Transformation Advisory
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[blurb] => Market-level suptech solution to enhance financial consumer complaints analysis.
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[blurb] => With 20 authorities, discovery and design of a platform for the collection and management of complaints from e-commerce users.
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[TAX_DOMAIN_2_text] => Consumer protection and market conduct supervision, Competition monitoring
[start_date] => 2025-01-01
[internal_notes] => Feature in TA
[description] => In this project with 20 government agencies in the Philippines, we co-designed a digital consumer protection platform to support implementation of the Internet Transactions Act. It features AI-powered complaints analysis, unified case management, and integration with e-commerce dashboards — enabling risk-based, proactive consumer protection in the digital economy.
• Purpose-built for a government function: The solution is designed specifically to support DTI’s mandate on consumer protection and e-commerce regulation, including complaint referral, dispute resolution, and inter-agency coordination.
• Agency-focused architecture: It enables 20+ agencies to collaborate within a defined regulatory process, providing a tailored case management system for a sector-specific problem (online transactions).
• SupTech roots: It leverages methodologies and tools traditionally used in supervisory technology, adapted for e-commerce oversight.
Digital Public Infrastructure (DPI) elements:
• Potential as a shared, reusable platform: If scaled and opened beyond this project, parts of the solution—such as the national online business database, the ODR system, and the e-commerce trustmark—could become core public digital services available for multiple use cases across sectors.
• Integration with eGOV: Its planned connection with the national eGOV platform and app positions it as part of the country’s broader digital public infrastructure, supporting interoperability and shared access for citizens and agencies.
[status] => Completed
[TAX_TECH_1_text] => Data Collection, Data Collection
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[name] => SupTech Training for the Chilean Comisión para el Mercado Financiero (CMF)
[status] => Completed
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[createdTime] => 2025-08-29T16:08:17.000Z
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[clients_text] => Gates Foundation (GF)
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[start_date] => 2024-12-11
[description] => Digital Consumer Protection Day – New York City, 11 December 2024
Digital Consumer Protection Day brought together global leaders, supervisors, and ecosystem innovators to accelerate efforts in advancing financial consumer protection worldwide.
The day opened with senior leaders sharing perspectives on how to fast-track the integration of cutting-edge technologies into supervisory processes and strengthen consumer protection frameworks at financial authorities across the globe. The opening roundtable featured an exchange of actionable insights between supervisors and technology providers, highlighting recent projects that moved from concept to prototype — including dispute resolution platforms and data scraping solutions using social media, sentiment analysis, topic modelling, and other machine learning-based analytics.
Speakers included:
• Curtis Matlock, CEO, Proto
• Dr. Kimmo Soramäki, CEO, FNA
• Lejla Sarcevic, CEO, Winnow Technologies
• Jamile Vallés, Head of Market Conduct Enforcement Department, Superintendencia de Banca, Seguros y AFP del Perú
• Noel Guinto, Director, Department of Supervisory Analytics, Bangko Sentral ng Pilipinas
The Innovation Rotation showcased live demos from Proto, FNA, and Winnow, offering attendees the chance to interact directly with real-life suptech applications.
The afternoon featured a Mini-Design Sprint: Advancing Financial Consumer Protection, where participants applied key takeaways in a hands-on format. Ahead of the event, attendees voted for their preferred topics, which included AI-powered complaint analysis, real-time supervisory dashboards for consumer risk, and supervisory technology for crypto assets and digital currency. The session was facilitated by:
• Adam Scott, Director of Digital Services, Consumer Financial Protection Bureau
• Jessica Schafer, UX Design Lead, Consumer Financial Protection Bureau
The event concluded with a shared commitment to translating innovation into implementation, ensuring that financial consumer protection keeps pace with the rapidly evolving digital economy.
[status] => Completed
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[1] => Data Processing + Validation
[2] => Data Collection
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[6] => Data Analytics
[7] => Data Storage
[8] => Data Storage
[9] => Data Products
)
[funders_text] => Gates Foundation (GF)
[name] => SupTech Suite with Next Generation, AI Powered, Chatbot Supported Complaints Management System
[lab_lead] => Nathalie
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[end_date] => 2023-12-31
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[clients_text] => Otoritas Jasa Keuangan (OJK), Bank of Ghana (BOG), University of Cambridge
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[1] => 4G
[2] => 4G
[3] => 4G
[4] => 2G
[5] => 2G
[6] => 3G
[7] => 3G
[8] => 2G
[9] => 4G
)
[partners_text] => Cambridge SupTech Lab, Winnow Technologies, Proto
[blurb] => AI-powered multilingual complaints management system for market conduct supervision in Indonesia and Ghana
[TAX_TECH_3_text] => NLP: Topic modeling, NLP: Sentiment analysis, Chatbots, Text summarization, Dashboard, Relational database, Machine Learning, Other data warehouse, Cloud-based file storage, Natural language querying
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[TAX_DOMAIN_2_text] => Consumer protection and market conduct supervision
[start_date] => 2023-05-30
[description] => We collaborated with the Otoritas Jasa Keuangan (OJK) in Indonesia and the Bank of Ghana (BOG) to design and implement a fully integrated financial consumer protection suite combining AI-powered multilingual chatbots, advanced analytics dashboards, and market sentiment monitoring. The solution, co-developed with Proto and Winnow Technologies, automates the intake, triage, and resolution of consumer inquiries and complaints across multiple channels, in local languages, and at scale.
The system centralises previously fragmented data sources, integrates with existing supervisory systems via APIs, and enriches complaint data with insights from web and social media scraping, sentiment analysis, and topic modelling. Interactive BI dashboards provide supervisors with real-time visibility into market conduct issues, emerging risks, and reputational threats.
This modernised approach has improved operational efficiency, reduced processing times, eliminated redundant manual work, and expanded authorities’ capacity to respond swiftly and consistently to consumer grievances. It has also enhanced supervisors’ ability to detect early warning signs of misconduct, inform policy decisions, and strengthen public trust in financial oversight.
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[status] => Completed
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[createdTime] => 2025-08-02T15:13:45.000Z
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[description] => In 2020, through the RegTech for Regulators Accelerator (R2A), the Saudi G20 Presidency and the Bank for International Settlements (BIS) Innovation Hub in the design and implementation of the Global SupTech TechSprint. We developed the templates for the submissions of the proposals, the set of criteria and the scorecards for their technical evaluations, and conducted the analysis of 128 applications submitted by vendors from 40 countries to select the 32 finalists that were evaluated by a judging panel that we joined.
[status] => Completed
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[funders_text] => Asian Development Bank (ADB)
[name] => Topic Modeling and Sentiment Analysis for Digital Assets Supervision
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[lab_lead] => Matt
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[end_date] => 2025-12-15
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[blurb] => Governance and project management of procurement, development and implementation of suptech solution
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Objectives
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1. Automate Regulatory Data Management: To design and implement a solution that automates the collection, validation, processing, and storage of regulatory data from supervised financial institutions, ensuring accuracy, consistency, and compliance with regulatory requirements.
2. Enhance Supervisory Analytics: To integrate advanced analytics tools, including predictive and prescriptive models, into the DSS to provide deeper insights into financial trends, risks, and systemic vulnerabilities, supporting proactive supervision and decision-making.
3. Enhance Text Data Processing and Analysis Capabilities: To efficiently process and analyze large volumes of unstructured text data, such as reports, communications, and documents, using advanced NLP techniques to identify key information, trends, and risks relevant to financial supervision.
4. Support Risk-Based Supervision: To provide a comprehensive, real-time view of the financial landscape through interactive dashboards and reports, enabling BOU to prioritize supervisory efforts on high-risk areas and institutions.
5. Facilitate Stakeholder Engagement and Collaboration: To develop a user-friendly interface and customizable tools that facilitate easy access to information, data sharing, and collaboration among various stakeholders, including internal teams and supervised entities.
6. Ensure Compliance and Data Security: To implement robust data governance and security measures that protect sensitive financial data and ensure compliance with regulatory and legal requirements.
7. Enable Iterative Development and Continuous Improvement: To adopt a lean, iterative development approach that allows for rapid prototyping, testing, and refinement of the DSS solution, incorporating feedback from stakeholders and continuously improving the system to meet evolving supervisory needs.
8. Document and Disseminate Learnings: To systematically document the
development process, key learnings, and best practices, and disseminate these findings through workshops, webinars, and conferences to support knowledge sharing and capacity building within the financial supervision community.
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[blurb] => Equip your team to harness AI for public sector transformation. Gain core skills, hands-on experience, and a tailored roadmap to drive adoption and impact.
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[description] => Join our intensive AI Bootcamp and gain the knowledge and tools to harness next-generation artificial intelligence (AI) for public sector innovation.
You will explore the evolving AI landscape and its transformative potential for government and regulatory bodies, covering AI fundamentals, machine learning, and natural language processing, alongside ethical considerations and the role of public-private collaboration in AI strategy.
The programme includes a practical public-sector case study, featuring hands-on exercises in Python, guidance on interpreting and analysing AI-generated data, and best practices for designing and optimising AI implementations. You will assess your organisation’s AI readiness, develop strategies to enable adoption, and leave with a tailored roadmap to drive digital transformation and informed decision-making.
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[description] => The Public-Private Secondments for SupTech Innovation initiative pairs highly trained experts from the private sector with financial authorities around the world for short-term, remote and in-person secondments that accelerate the digital transformation of financial supervision, leading to a more efficient, safer and sounder global financial system.
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- AML-CFT Risk Based Approach Guidelines
- Fitness and Probity Guidelines
- Corporate Governance Guidelines
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[description] => We implemented with the Superintendencia del Sistema Financiero (SEPS) and the World Bank a suptech suite to strengthen consumer protection and market conduct supervision. The solution comprised an AI-powered chatbot, a web-based case management portal, and an advanced analytics dashboard.
After the diagnostic phase, we designed the use case specifications and solutions architecture, then Matellio was procured to deliver the integrated system and provide production-ready code, enabling SEPS to manage ongoing operations without vendor lock-in or recurring licensing fees.
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[status] => Completed
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[name] => Financial Consumer Protection Suite with Web Scraping and ML-Based Analysis
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[clients_text] => Bangko Sentral ng Pilipinas (BSP), Securities and Exchange Commission Philippines (SEC-Philippines), University of Cambridge
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[partners_text] => Cambridge SupTech Lab, Winnow Technologies
[blurb] => Design and prototype an solution thatcombines web scraping, sentiment analysis, and machine learning.
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[start_date] => 2023-05-30
[description] => In partnership with BSP and SEC Philippines, DTS (via the Cambridge SupTech Lab) developed a working prototype that enhances supervisory intelligence using data from public domains such as social media, news sites, and app-store reviews.
Key elements of the project included:
• SupTech design sprint and diagnostic: Identified supervisory challenges, manual bottlenecks, and priority use cases for consumer protection.
• Global vendor competition: Selected Winnow Technologies to co-develop an advanced analytics solution through a lean procurement process.
• AI-driven prototype: Delivered a system that automates data scraping, applies natural language processing and machine learning for sentiment analysis and topic modelling, and visualises results via interactive dashboards.
• Data integration: Connected public data streams with internal complaints management systems, improving early detection of misconduct and consumer risks.
• Future-proof architecture: Ensured flexible deployment (on-premises, cloud, or hybrid) with open data models, avoiding vendor lock-in and enabling future scalability.
This project demonstrates how SupTech innovation can move agencies from reactive to proactive supervision, helping them allocate resources more effectively, detect emerging risks early, and shape better-informed consumer protection policies.
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[name] => Oluwasola Dada Ajewole, Deputy Director, Development and Finance Institutions Supervision Department
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[partners_text] => Central Bank of Nigeria (CBN)
[blurb] => Innovation Leaders Residency 2024
[TAX_DX_2_text] => Upskilling and Reskilling
[TAX_DOMAIN_1_text] => Financial system oversight and regulation
[start_date] => 2024-01-01
[description] => Oluwasola Dada Ajewole is one of the 11 members of the 2024 cohort of the Innovation Leaders Residency.
Oluwasola is the Deputy Director for Other Financial Institutions Supervision at the Central Bank of Nigeria. During the Residency year, Oluwasola upskilled in data science and forensic investigation, and focused on the development of a suptech application that tracks fraudsters and scammers that use vishing, phishing, and social engineering - with the aim to boost consumers’ faith in the financial system.
Over the course of the Residency year, Innovation Leaders gain online support for the enhancement of their skills and competencies, and assistance in taking their projects to the next level, whether they are focusing on implementing the digital transformation of their business unit or on driving the development of a cutting-edge suptech application.
[status] => Completed
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[partners] => Array
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)