Diagnostic and AI Readiness Assessment

Diagnostic and AI Readiness Assessment

Diagnostic and AI Readiness Assessment

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.