Agentic AI for Regulatory Reporting: From Data to Decision-Making

Whitepaper in partnership with PwC Ireland

AI has the potential to change how regulatory reporting is delivered, but its value depends on the data, controls and architecture underneath it.

This whitepaper explores what banks need to put in place to use agentic AI in regulatory reporting in a way that is practical, explainable and well governed.

Download the whitepaper to explore how stronger data foundations can support the next stage of regulatory reporting.

Building the foundations for agentic AI

Regulatory reporting is becoming more detailed, data-driven and machine-readable. At the same time, many banks are still managing fragmented data, disconnected systems and reporting processes that are difficult to change.

The paper explores how banks can prepare for greater automation and the use of agentic AI by strengthening the foundations of regulatory reporting.

It covers:

• How standardised, governed and reusable data can support regulatory reporting
• Why interoperable architecture matters across multiple reporting requirements
• The importance of clear lineage from source systems to regulatory outputs
• How machine-readable rules and validation logic can support greater automation
• Where human oversight remains essential for decisions, exceptions and sign-off

About the authors

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

It brings together perspectives on regulatory reporting, data standardisation and emerging AI capabilities to examine how banks can move from experimentation towards practical adoption.