What is Regulatory Intelligence?
We believe Regulatory Intelligence should be measured not by the volume of information it produces, but how effectively teams can identify what matters, act on it and explain their decisions. That’s what Regulatory Intelligence is for. It isn’t a feed of regulatory updates or another source of alerts. It’s regulatory expertise, trusted interpretations, data and technology working together so teams can make better decisions and stand behind them.
Regulatory Intelligence is often understood as a way to keep track of regulatory change. Our view goes further: the value comes when trusted interpretations are applied to a firm’s own data, rather than simply delivered as another update to read. At RegSensus, we are building towards that approach across positions, trades and communications, connecting regulatory monitoring, reporting and surveillance over time.
Take Shareholding Disclosure, for example: a result comes back, and an alert is triggered. Someone opens it and works out what changed, checking the data already in the platform: position history, the denominator, internal and historical trade data. Any one of them could explain the movement, so each is checked against the last filing and written up. Then the same work happens again tomorrow. And when a board or regulator asks about a filing, the team has to explain exactly how that result was reached.
In surveillance, the starting point might be a trade or communication that needs to be investigated. The reviewer still has to assemble the context, understand what happened and record why a decision was made. Different signals, but much of the same manual work.
What should Regulatory Intelligence deliver in practice?
That pattern runs across monitoring, reporting and surveillance. Regulatory Intelligence should change it in three ways.
Hours back in the week. In regulatory monitoring, rules built to the Trusted Regulatory Standard are applied automatically, and AI takes on the cross-checking behind each result. Result Investigation already cuts disclosure resolution time by around 25%.
Decisions made with the context in front of you. A result is only useful if you can quickly tell whether it matters. When the relevant history and data arrive together, reviewers start with the picture already assembled. That means faster calls, and calls you can stand behind.
A process you can explain. Regulators don’t just ask what the result was. They ask how you got there. When each result comes with a clear audit trail of the data behind it, how it was calculated and checked, and who made the final call, it makes that question easier to answer, without the reconstruction work.
What makes the RegSensus approach different?
What makes this trustworthy is where the rules come from. Our regulatory experts interpret them, and through Regulatory Consensus, the clients who use them confirm how each has been interpreted and coded. That’s proven in regulatory monitoring today, and we’re extending it to surveillance.
This is the foundation of our Trusted Regulatory Standard. Rather than every institution interpreting the same requirements in isolation, clients can benefit from shared regulatory expertise and continuously validated monitoring logic, across reporting and surveillance.
None of this replaces judgement. The systems do the calculations, AI helps with the heavy lifting, but the final, defensible decision always stays with your team.
More alerts were never the goal. Fewer open questions are.
Contact us to see what that looks like for your team.
