Regnology Published Study on Agentic AI in Reporting
The research provides a framework for financial institutions to move AI from experimental pilots to production systems.
Updated on Sept. 22, 2026 in Artificial Intelligence
Live Poll
Do you support financial institutions using artificial intelligence to automate their regulatory reporting and compliance processes?
Regnology released a new study exploring how financial institutions can transition agentic AI—autonomous software that performs tasks without constant human intervention—from testing into production. The report found that while 87% of practitioners are piloting AI, only 16% have reached production-level deployments.
Why it matters
Financial institutions face a significant 'agentic gap' between experimental testing and trusted reliance on autonomous AI for critical regulatory reporting. Addressing this could allow banks to automate manual processes that currently consume up to 50% of their reporting budgets.
Regulatory reporting currently accounts for 1% to 3% of total bank expenditure, with 30% to 50% of that cost tied to internal process execution. Oliver Wyman estimates that 15% to 25% of this total spend is addressable by agentic workflows.
The players
Regnology
A Frankfurt-based firm specializing in regulatory software solutions and financial reporting technology.
Oliver Wyman
A global management consulting firm that provides strategic analysis for financial services and institutional markets.
The details
The report defines the agentic gap as the distance between validating a software concept and relying on it for daily operations. It introduces a diagnostic framework that maps the cost of inaction against AI readiness, suggesting that firms must match the level of autonomy granted to an AI agent to the specific risk profile and repeatability of each individual financial process.
Timeline
Research for the report was conducted between February and July 2026.
Regnology published the study on September 22, 2026.
The RegTech Convention will be held from November 23-26, 2026.
The Tech Race
This study establishes the baseline metrics for AI maturity that will likely anchor industry discussions at the upcoming 33rd RegTech Convention. It serves as a competitive marker for financial firms racing to move beyond experimental AI pilots toward automated compliance systems.
Financial professionals can expect a shift toward AI-driven workflows in regulatory reporting as firms attempt to capture the 15% to 25% of budgets identified as addressable. The speed of this transition will depend on how quickly institutions map the authority granted to AI agents against individual risk and process requirements.
The takeaway
Financial institutions must now reconcile their experimental AI pilot results with the requirements for production-scale autonomy. Watch for new implementation case studies at the RegTech Convention in November to see which banks successfully bridge the agentic gap.
What happens next
The 33rd edition of the RegTech Convention will take place from November 23-26, 2026, where participants are expected to address the practical implications of these AI deployment frameworks.
Further reading
For broader trends in enterprise automation, visit our Artificial Intelligence section.
Live Poll
Do you support financial institutions using artificial intelligence to automate their regulatory reporting and compliance processes?
