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Regnology Published Study on Agentic AI Reporting

A new industry report explores how financial institutions can move AI from experimental testing to production-level use.

Updated on Sept. 22, 2026 in Artificial Intelligence

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Regnology released a global study defining a diagnostic framework for financial institutions to transition agentic AI workflows from experimentation into production. AI Illustration. Upload story photo >

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Regnology has released a global study analyzing the integration of agentic AI within regulatory reporting frameworks. The research highlights the transition from conceptual experimentation to trusted production for financial institutions.

Why it matters

Financial firms are seeking to reduce the high costs of manual regulatory processes by bridging the gap between AI testing and reliable, autonomous workflows. The findings offer a diagnostic framework for matching AI authority to specific operational risks.

Regulatory reporting consumes 1% to 3% of total bank expenditure, with 30% to 50% of that budget tied to internal processes. Oliver Wyman projections suggest 15% to 25% of this reporting spend is addressable by agentic workflows.

The players

Regnology

A Frankfurt-based provider of regulatory technology solutions for the financial services industry.

Oliver Wyman

A global management consulting firm that provided estimates on the potential for AI-driven financial workflows.

The details

The report, which incorporates perspectives from 276 practitioners across 22 countries, defines the agentic gap as the distance between testing a concept and relying on it. It provides a mapping framework to help organizations determine which processes are suitable for AI based on risk levels and repeatability.

Timeline

  1. Research for the report was conducted between February and July 2026.

  2. Regnology published the study on September 22, 2026.

  3. The 33rd edition of the RegTech Convention will be held from November 23 to 26, 2026.

The Tech Race

This study reflects a wider industry pivot away from legacy manual reporting toward autonomous agents that can execute complex tasks without continuous human oversight. The report follows a pattern set by the RegTech Convention's annual technology standardizations to modernize banking compliance.

For financial professionals, the move toward agentic AI could eventually reduce time spent on repetitive data entry and manual compliance checks. These shifts may lead to more streamlined internal reporting workflows and updated requirements for digital operations skills.

The takeaway

Financial institutions must carefully calibrate the level of authority granted to AI agents to ensure they remain within manageable risk parameters. Identifying which internal processes are truly repeatable is the critical first step for banks aiming to capture efficiency gains.

What happens next

The 33rd edition of the RegTech Convention is scheduled to take place from November 23 to 26, 2026.

Further reading

Learn more about the latest innovations in Artificial Intelligence.

Live Poll

Do you support financial institutions using artificial intelligence to automate their regulatory reporting and compliance processes?