FinregE launches new regulatory intelligence framework

By Milan Rojan

FinregE has launched a new regulatory technology framework aimed at helping financial institutions manage growing volumes of regulatory information and identify material compliance requirements more efficiently.

The FinregE Regulatory OS has introduced a layered filtering architecture designed to reduce the volume of irrelevant regulatory alerts reaching compliance teams. The framework has been presented as an alternative to traditional monitoring approaches that have prioritised collecting large amounts of regulatory data.

Rohini Gupta, CEO of FinregE, said: “The objective is not merely to capture data, but to isolate materiality.” She has argued that regulatory publication volumes have exceeded the capacity of manual review processes, increasing the risk of both alert fatigue and missed regulatory changes.

The framework has applied multiple filtering stages, beginning with jurisdictional filtering to remove information from non-applicable authorities. It has then used functional filtering to align regulatory content with specific business operations, followed by weighted relevance scoring and human validation for higher-materiality cases.

FinregE has said the system has incorporated natural language processing and machine learning to improve regulatory relevance scoring over time. The framework has also promoted metrics including time to awareness and false negative rates to help firms measure the effectiveness of their regulatory intelligence functions.

The company has said its approach has been designed to allow compliance professionals to spend less time sorting regulatory information and more time on implementation and strategic risk management.

The launch has come as regulated firms have faced increasing regulatory communications across multiple jurisdictions. FinregE has positioned its Regulatory OS as a tool for improving the precision of regulatory horizon scanning while reducing unnecessary alerts.

The framework has been detailed in a new technical guide authored by Gupta, which has outlined how firms can establish a more proactive regulatory intelligence function through structured filtering, automation and human oversight.