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Why RegTech’s AI edge depends on data, not summaries

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Why RegTech’s AI edge depends on data, not summaries

As regulatory requirements continue to evolve, compliance teams face a growing challenge in separating meaningful developments from the noise. Effective horizon scanning is no longer just about identifying what is changing, but understanding what matters, how it affects the business and what action needs to follow. The AI in Risk and Compliance 2026 report – co-authored by RegTech Analyst and Parker & Lawrence Research – delved into how firms can overcome regulatory noise today. 

As part of the research for the report, Parker & Lawrence Research interviewed market leaders in the space to discuss the importance of overcoming the noise to build horizon scanning for actionable intelligence.

On this occasion, the firm spoke with James Mackonochie, global executive head of product at CUBE, aprovider of AI-powered horizon scanning and regulatory intelligence for financial institutions and other regulated organisations.

This interview was part of the wider AI in Risk and Compliance 2026 report conducted by RegTech Analyst and Parker Lawrence Research. To download the full report, click here. 

Regulatory change is often framed as a volume problem. Yet for many compliance teams, the tougher challenge is working out what is actually relevant. A single publication might affect just one product, legal entity or jurisdiction. Another might simply restate an existing position. A third could appear minor yet quietly reshape a requirement that touches multiple policies and processes.

Effective horizon scanning, therefore, is about more than finding content. Firms must understand what has changed, whether it applies to them, who owns the response, and how each decision links back to an authoritative source.


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