Regnology Research Maps Route From AI Pilots to Production in Regulatory Reporting
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2026-09-23 10:50 AM
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Regnology, a leader in regulatory, risk, tax and finance reporting technology, today published “The Agentic Gap: From Control to Intelligence in Regulatory Reporting”, accompanied by a video foreword from Chief Executive Officer Rob Mackay. The global study sets out where agentic AI can take on meaningful operational load today, and gives institutions a practical roadmap from isolated pilots into scaled production.
The question is no longer whether agentic AI will transform regulatory operations. It is how quickly institutions can close the gap between ambition and execution. While financial institutions continue to invest heavily in regulatory reporting, our research shows that significant opportunities remain to automate, augment, and redesign core processes. The Agentic Gap Report examines where organizations stand on this journey, identifying the technological, organizational, and governance challenges that continue to slow adoption. The findings point to a clear conclusion: realizing the benefits of agentic AI requires more than new tools. It demands new operating models, new skills, and a deliberate approach to trusted, human-supervised transformation
The research finds an industry already mobilizing. 87% of respondents are exploring, piloting or embedding AI in operations, and only 13% report no current plan. The constraint is a shared one. Embedded, production-level use sits between 8% and 15% at every institution tier, and 16% of respondents overall have reached it, with 89% of financial institutions yet to get there. Resources buy experimentation, but production use is earned on the same terms everywhere. The report calls that solvable distance, between testing a concept and relying on it inside the reporting cycle, the agentic gap. Where agentic AI cannot yet take responsibility, the report finds the binding constraint is usually the data or the governance around it, not the maturity of the technology.
The economic incentive to close it is substantial. Research by Oliver Wyman, commissioned by Regnology, finds regulatory reporting typically absorbs 1% to 3% of total expenditure at the banks profiled. Between 30% and 50% of reporting spend goes on running the process internally, the largest single cost pool and a reflection of how much of the work is still performed by hand. In illustrative Tier 1 case studies, Oliver Wyman estimates roughly 15% to 25% of reporting spend could be addressable by agentic workflows. The estimate is directional.
Rob Mackay, Chief Executive Officer of Regnology, said: “Banks are conservative by nature, and in regulatory reporting they are right to be. The tolerance for error is close to zero, and a manual process may be inefficient, but it is familiar and readily defensible. The harder part is rarely the technology. It is finding people who understand the regulatory logic in depth and can turn it into something a system can apply safely. That combination is scarce, and it is what Regnology brings alongside institutions rather than asking them to assemble it alone.”
Rather than offering abstract benchmarks, the report provides a practical blueprint for execution. It introduces a diagnostic framework mapping the cost of inaction against AI readiness to help institutions prioritize high-impact workflows, baseline existing processes before piloting, and design governance into systems before deployment. Moving from priority to production means matching the authority given to AI to the risk and repeatability of the individual process, ensuring outputs can be traced and reconstructed, and aligning with requirements such as the EU AI Act.
Linda Middledith, Chief Product & Engineering Officer of Regnology, comments: “Agentic is not one thing. It runs from explaining what the numbers mean, to recommending what should happen next, to carrying out defined work under human oversight. How much authority each process can carry is a decision institutions make process by process, not once for the whole organization.”
Regnology’s own response to these findings is RGI, the Regnology Intelligence layer, which combines explainability, AI-assisted decision support and agentic workflows under human oversight. The wider industry conversation continues at the RegTech Convention, organized by Regnology since 1993 and now one of the largest conferences on financial regulation and regulatory technology. Its 33rd edition runs from 23 to 26 November under the theme From Control to Intelligence, bringing together supervisory authorities, supranational bodies, financial institutions and industry experts with hubs in Frankfurt, London, New York, Singapore and Zürich. Building on last year’s focus on Straight Through Reporting, the agenda turns to unlocking intelligence across reporting, risk and finance, and to the opportunities and risks that come with it.
Regnology’s Agentic Gap report is based primarily on research conducted by Regnology between February and July 2026, capturing perspectives from 276 practitioners across 22 countries and territories in Europe, North America and Asia-Pacific, spanning financial institutions, professional services, technology and supervision. Where relevant, it draws on supporting research into the economics of regulatory reporting conducted by Oliver Wyman and commissioned by Regnology. Neither Regnology nor Oliver Wyman accepts liability to any third party in respect of the whitepaper.
About Regnology
Regnology is a recognized leader in regulatory, risk, tax, and finance reporting technology, connecting regulators and the regulated across more than 100 countries. Our unique position enables us to span the full spectrum of industry needs, delivering solutions that address both oversight and compliance requirements to a broad range of clients, including global Tier 1 banks, local and regional institutions, corporates, insurers, and authorities.
For more information about Regnology, connect with us on LinkedIn and X.
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