Suade and PwC Ireland publish whitepaper on agentic AI for regulatory reporting
New research explores how banks can prepare their data, controls and operating models for the responsible use of AI in regulatory reporting.
LONDON, 19 August 2026 - Suade and PwC Ireland have published a new whitepaper, Agentic AI for Regulatory Reporting: From Data to Decision-Making, examining how banks can introduce AI into regulatory reporting safely and at scale.
The whitepaper argues that agentic AI will only create meaningful value when it operates on structured, governed and interoperable data. As reporting requirements become more detailed and regulators increasingly move towards structured, machine-readable data collection, banks must establish strong data foundations before deploying AI across reporting workflows.
The paper explores how agentic AI could support several stages of the reporting lifecycle, including:
- Data validation and completeness checks.
- Exception management and issue triage.
- Audit-evidence generation.
- Regulatory-change impact assessment.
- The application of repeatable logic and relevant contextual information.
Across these use cases, the whitepaper emphasises the importance of human oversight. AI can help reporting teams automate repeatable activities, identify issues and surface supporting evidence, but accountability for material decisions should remain with appropriately qualified human experts.
“Agentic AI only creates real value in regulatory reporting when it operates on standardised, well-governed data within a clear control framework,” said Murat Abur, CIO and co-founder of Suade. “Firms that invest in robust data foundations, reusable logic and clear controls will be better placed to use AI safely as the technology matures.”
The whitepaper also considers the role of open standards and interoperable architecture in reducing duplication across reporting regimes. It highlights the Financial Regulation, or FIRE, Data Standard as a common, open specification for transmitting granular regulatory data.
Licensed under Apache 2.0, FIRE is designed to help firms establish a reusable semantic layer between internal systems and multiple external reporting requirements.
“There will always be humans in the loop, and that is an important part of any regulatory reporting architecture,” said Eamonn Clarke, Director, Reg Consulting at PwC Ireland. “Agentic AI can automate repeatable steps and surface better evidence, but accountability for material decisions must remain with human experts.”
The whitepaper is intended for senior professionals across regulatory reporting, finance, risk, data and technology who are assessing how to modernise reporting architecture without compromising governance, explainability or control.