Why compliance teams can’t ignore Sherlocq’s AI leap

Sherlocq

Compliance professionals are not short of tools, they are drowning in them. Screening platforms, sanctions portals, regulatory update feeds, case management systems and now AI assistants all sit in separate windows, running separate workflows. Every switch between them costs time, and in compliance, lost time translates directly into higher risk.

Sherlocq, the AI-powered regulatory intelligence platform serving global financial services, compliance, legal and regulatory professionals, has moved to close that gap.

Sherlocq recently discussed how it integrated with Claude and ChatGPT, and why Copilot and Gemini integrations are to follow.

The platform is now available as a native connector inside both Claude and ChatGPT, meaning compliance teams can carry out multi-jurisdiction regulatory research without leaving the AI tools they already use day to day. Integrations with Copilot and Gemini are in active development and expected to follow shortly.

The shift matters because of a well-worn pattern in enterprise software: organisations invest in specialist platforms, only for adoption to stay concentrated among a handful of champions while everyone else works around them. Compliance intelligence has suffered the same fate.

Global regulatory compliance costs now exceed $300bn a year, and more than 10 million professionals across banks, asset managers, payment firms, law firms and regulators wrestle with that complexity daily, with roughly 40% of their working time swallowed by manual research alone.

Embedding Sherlocq directly inside AI environments professionals already rely on removes the need to adopt yet another standalone system, bringing the intelligence to the point of need instead.

In practice, a user working inside Claude on a regulatory gap analysis or a board briefing can invoke Sherlocq mid-conversation, asking it to compare licensing and conduct requirements across markets such as the US, UK, UAE and Singapore. The platform returns structured, source-cited intelligence within the same thread rather than sending the user off to four separate portals.

Sherlocq cites this scenario directly: a compliance officer drafting an expansion memo can request a side-by-side breakdown of licensing thresholds, capital requirements and conduct obligations across jurisdictions, with results delivered inline and fully sourced, cutting a multi-day research task down to under an hour.

The ChatGPT connector offers equivalent functionality, with sanctions screening highlighted as a key use case. Analysts working a flagged payment can query more than 320 data sources spanning OFAC, OFSI, EU, UN and UAE designations without leaving their existing workflow, pairing generative AI with verified regulatory data to produce output that holds up in a regulated environment.

Looking ahead, the planned Copilot integration will extend Sherlocq’s intelligence into Word, Outlook and Teams, while the Gemini connector will bring the same capability to Google Docs and Gmail. Sherlocq is positioning itself as infrastructure that sits inside the tools professionals already use, rather than a destination they must be persuaded to visit, describing itself as the first AI-powered regulatory intelligence platform to launch natively inside both Claude and ChatGPT at once.

Read the full Sherlocq post here. 

By Daniel Willis, Editor of RegTech Analyst 

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