Qomply has launched QomplyAI, a new capability designed to make its regulatory intelligence available through AI assistants including ChatGPT, Claude and other Model Context Protocol-compatible clients.
QomplyAI is intended to let reporting, compliance and oversight teams ask regulatory questions in natural language and receive structured answers that can support workflow decisions. Example use cases include checking whether an instrument is MiFID reportable on a given trade date, retrieving reportable ISINs from a CFI code, or obtaining a UPI for an ISIN from within an AI assistant.
The capability connects AI tools to Qomply’s centralised regulatory intelligence hub, using the same data and logic that support the firm’s transaction reporting solutions. That positioning is important as compliance teams assess how AI can be used without weakening governance, auditability or control over regulatory interpretation.
Michelle Zak, Co-Founder of Qomply, said: “Firms are increasingly working in AI-enabled environments, but the key is ensuring the answers they rely on are accurate, consistent and based on trusted regulatory logic. QomplyAI brings our intelligence directly into those workflows, so teams can move faster while maintaining control.”
Qomply cites recent KPMG research suggesting that AI agent adoption is moving beyond exploratory use. According to the survey of more than 2,100 global leaders, 54% of organisations are actively deploying AI agents, while organisations globally plan to spend an average of $186 million on AI over the next 12 months, compared with $207 million in the U.S.
Zak added: “With global AI-adoption, users are demanding accurate and defendable results. Qomply sits at the heart of that regulatory intelligence.” For regulated firms, the practical value lies in bringing verified regulatory logic into everyday AI workflows while retaining explainability and consistency.
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