About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

SteelEye Introduces Compliance CoPilot to Enhance Communication Surveillance

Subscribe to our newsletter

Following its integration of ChatGPT 4 into its compliance platform earlier this year, surveillance solutions vendor Steeleye has launched the Compliance CoPilot, an AI-driven compliance tool that harnesses the power of advanced Large Language Models (LLMs) to streamline the communication surveillance alert review process.

As regulatory bodies worldwide continue to impose fines on investment banks and managers for not adequately monitoring business communications across various platforms, the Compliance CoPilot is designed to empower surveillance teams to swiftly detect and address potential rule violations by prioritising risk-ranked alerts. It does this by automating the alert review process, sifting through vast amounts of communication data, and generating a Risk Score, a Suggested Resolution Category, and a Resolution Commentary for suspicious communications, whether emails, meetings, chats, attachments, or phone calls. The system also offers a rationale for its conclusions, thus providing compliance officers with documentary evidence, enhancing the clarity of the review process and significantly reducing the time compliance officers spend on it.

A unique feature of the Compliance CoPilot is its ability to learn and adapt based on user feedback. Whether users accept or modify the system’s recommendations, this feedback refines the system’s accuracy for subsequent alerts. With its AI-driven capabilities, the Compliance CoPilot also promises substantial cost savings by enhancing analyst efficiency and the overall scalability of compliance operations.

Matt Smith, Chief Executive Officer and Co-Founder of SteelEye commented, ”Whereas AI alone is inherently deterministic and lacks explicability, the SteelEye Compliance CoPilot is the perfect assistant and sidekick for busy surveillance teams, assuring regulators that human decision-making remains at the heart of compliance.”

Smith added: “Given the multilingual nature of communications across regulated entities, the demand for the platform to be able to assess multiple languages has been addressed. As such, we have developed the capability to analyse communications in 12 languages, while the system returns the insights in English regardless of the languages being used.”

The Compliance CoPilot is designed to seamlessly integrate into existing workflows and can be embedded into a firm’s core systems.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Market Abuse Regulation: How to Detect and Analyse Abusive Market Transactions

Market abuse is a potential problem for many financial institutions. It typically covers insider dealing, unlawful disclosure of inside information, and market manipulation, and is often difficult to detect and report in line with regulations such as Market Abuse Regulation – or MAR, and its UK equivalent. While compliance with MAR is a challenge, non-compliance...

BLOG

Rothera Deploys Eventus Validus as Surveillance Becomes Key for Event Contract Venues

Rothera, the CFTC-regulated event contract exchange and clearinghouse founded as a joint venture between Robinhood and Susquehanna International Group, has deployed Eventus’ Validus platform for trade surveillance of its markets, two months after the venue began trading. The exchange holds both Designated Contract Market (DCM) and Derivatives Clearing Organization (DCO) registrations with the Commodity Futures...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...