Regentic delivers regulatory workflows built on agentic principles, helping compliance teams focus on what matters most while reducing the time, effort, and risk associated with daily compliance activities. Today, we are introducing AI-powered capabilities that accelerate the research, investigation, and validation work behind regulatory reporting.
We apply AI where it adds value and hold back where it would compromise trust. Accuracy and accountability are non-negotiable in regulatory reporting, so AI takes on the research and analysis once done by hand, while the deterministic rules engine stays the source of truth and the final call stays with you.
What we're releasing
Regentic AI is our new set of AI-driven capabilities in the platform, launching with two: Result Investigation and Denominator Discovery.
Result Investigation (available now)
Result Investigation examines a disclosure result the way an experienced analyst would. It looks at what has changed across regulations, rules, and position data, assesses how those changes affected the result, and surfaces relevant history context such as any previous filings, actions taken, recent disclosure events, and whether it is a first-time jurisdiction disclosure. The output is a clear, human-readable explanation you can use to validate the result, understand its root cause, and move faster with less manual investigation.
Denominator Discovery (available soon)
Denominator Discovery takes the manual effort out of denominator validation. It automatically sources data from public places such as issuer, regulatory, and exchange websites, then does the cross-referencing your team would otherwise do by hand. Validating a US disclosure in Apple Inc., for example, it can retrieve the denominator from Apple's issuer website or the latest SEC's EDGAR regulatory filing so you can confirm the figure is correct and current, and it flags discrepancies before they lead to incorrect reporting.
In both cases, the agents take on the research and analysis, giving teams consistent, repeatable checks that save time, cut manual errors, and reduce regulator and reputational risk. The rules engine still owns every calculation and result, while humans retain full control by reviewing the agentic investigation and making the final determination.
Both features reflect the same measured thinking we apply to AI across the platform. You can read that in full on our Approach to AI page, or in the Approach to AI PDF.
Want to see this in your workflow? Contact us to speak to the team. Existing clients can also reach out to their CSM or use the contact form to get started, including joining the AI beta programme.
