Agentic AI for regulatory reporting

How can financial institutions harness the power of AI in regulatory reporting without compromising control, transparency, or compliance? This whitepaper explores how agentic AI is set to transform regulatory reporting and what banks must do today to prepare for that future. Based on insights from PwC Ireland and Suade, it provides a practical perspective on moving from fragmented, report-driven processes to a modern, data-centric reporting model.

The paper examines why data standardisation is the critical foundation for successful AI adoption, highlighting the importance of clear data definitions, governance, traceability, and interoperability across reporting frameworks. It outlines how industry initiatives such as Banks’ Integrated Reporting Dictionary (BIRD) and standards such as the Financial Regulation Data Standard (FIRE) can help institutions.

Readers will gain insight into how agentic AI can support key regulatory reporting activities, including data validation, exception management, audit trail generation, and regulatory change assessment. The whitepaper also addresses the essential role of governance, explainability, and human oversight, arguing that AI should enhance — not replace — existing control frameworks.

Designed for leaders across regulatory reporting, risk, finance, data, and technology functions, this whitepaper is particularly relevant for teams assessing how standardised data, interoperable architecture, and human-in-the-loop controls can support more scalable, explainable, and resilient reporting.

This paper was authored by Murat Abur, CIO and Co-Founder at Suade, and John Dwyer, Partner at PwC Ireland.