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AI is a transformative tool that enables organizations to reimagine how they operate, compete, and grow. By augmenting human intelligence with data-driven insights, AI helps unlock new sources of value, streamline complex processes, and create more adaptive businesses.
We are committed to building responsible and ethical AI solutions, embedding trust, transparency, and fairness at every stage. From governance frameworks to bias mitigation and compliance, we ensure that our clients can adopt AI with confidence. By integrating AI into core business processes, we help organizations unlock sustainable impact, accelerate growth, and prepare for the future of work.
Compliance teams are increasingly strained as AI regulations evolve at a rapid pace. Extracting requirements from complex legal texts, benchmarking them against internal policies, and identifying gaps demands significant time and resources. This inefficiency not only delays compliance readiness but also exposes organizations to risk. Automating these processes enables faster, more accurate analysis, freeing teams to focus on higher-value strategic oversight.
RegMatcher uses advanced large language models (LLMs) to automate the complex task of mapping internal policies to evolving regulatory requirements. It analyses and identifies compliance with new regulatory requirements against your internal policies and controls. RegMatcher aligns regulations with internal policies controls, performing gap analysis to identify discrepancies and ensure policies are optimized for compliance. It also allows you to verify the compliance of your control evidence against control design and validates control evidence audit responses.
The user inputs the control description along with any supporting documentation, such as policies, procedures, or process maps which may also serve as control evidence for another business line. The tool generates a draft of evidence for the control, which can then be reviewed and refined by business process owners, legal, and risk teams to demonstrate the control’s implementation.