About a-team Marketing Services
The knowledge platform for the financial technology industry
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: Unpacking Stablecoin Challenges for Financial Institutions

The stablecoin market is experiencing unprecedented growth, driven by emerging regulatory clarity, technological maturity, and rising global demand for a faster, more secure financial infrastructure. But with opportunity comes complexity, and a host of challenges that financial institutions need to address before they can unlock the promise of a more streamlined financial transaction ecosystem. These...

BLOG

Nasdaq Positions Calypso as the Institutional Bridge for On-Chain/Off-Chain Collateral Convergence

Nasdaq is building a modular infrastructure ecosystem around its Calypso platform, positioning it as the institutional bridge between traditional and digital asset collateral workflows. A partnership with digital asset infrastructure provider Talos, announced in March, is the most recent in a sequence of coordinated initiatives – including a live integration with the Canton network and...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

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...