Suade and PwC Ireland release whitepaper on agentic AI in regulatory reporting

Suade and PwC Ireland have published a whitepaper on how banks can introduce agentic AI into regulatory reporting with governed data, human oversight and interoperable architecture. The paper argues that standardised data and clear controls must come before large-scale AI adoption as reporting rules become more structured and machine-readable.

Why it matters: - Banks are under pressure to meet more detailed reporting requirements while keeping governance, explainability and control intact. - The whitepaper says agentic AI can improve reporting workflows only if firms first build structured, governed and interoperable data foundations. - The paper frames data standardisation and lineage as prerequisites for safe AI adoption in regulatory reporting.

What happened: - Suade and PwC Ireland published a new whitepaper, Agentic AI for Regulatory Reporting: From Data to Decision-Making. - The paper looks at how banks can introduce AI into regulatory reporting safely and at scale. - The whitepaper is aimed at senior leaders in regulatory reporting, finance, risk, data and technology. - The full report is available to download.

The details: - The paper identifies early use cases for agentic AI across the reporting lifecycle. - Those use cases include data validation, completeness checks, exception management, audit-evidence generation and regulatory-change impact assessment. - AI can support teams by applying repeatable logic, surfacing relevant context and routing issues for review. - Human experts keep accountability for material decisions. - The paper highlights the Financial Regulation, or FIRE, Data Standard as an open specification for transmitting granular regulatory data. - FIRE is licensed under Apache 2.0. - FIRE is designed to help firms build a reusable semantic layer between internal systems and multiple external reporting requirements. - The paper says open standards and interoperable architecture can reduce duplication across reporting regimes.

Between the lines: - The message is that AI is not the starting point for better reporting. - The real leverage comes from standardised data, reusable logic and clear controls that can support automation without weakening oversight. - The paper also signals that banks may need architecture changes, not just new tools, to make AI useful in regulated workflows.

What's next: - Banks assessing reporting modernisation will likely use the paper as a framework for deciding where AI can help first. - The next step for firms is to strengthen data foundations, controls and operating models before scaling AI into core reporting processes. - As regulators move toward more structured, machine-readable data collection, firms with cleaner data architecture may be better positioned to adapt.

The bottom line: - Agentic AI may help regulatory reporting, but only after banks get the data, controls and human oversight right. - More information is available in the company's announcement and Suade's LinkedIn page.