Artificial intelligence is steadily advancing in the Control Room, shifting from basic task automation towards more sophisticated uses such as conflict identification, workflow automation and pattern detection. As these applications mature, issues of data quality, trust, governance and accountability are becoming harder for compliance leaders to ignore.

These questions dominated a recent Control Room Executive Roundtable hosted by MCO in London, where senior Control Room and compliance professionals compared notes on current progress and the challenges ahead.

Participants agreed that adoption is happening in phases rather than through a single overhaul. Most firms have started by automating small, repetitive tasks, although measuring the benefit of that work remains difficult. The next phase, agentic workflows in which AI handles parts of a process more independently, is expected to take considerably longer. Eventually, AI may become embedded in how Control Room processes run, but the conversation centred on where it can deliver practical value now.

MCO’s Global Compliance Outlook, produced with the Harris Poll, reflects this uneven picture. Some 47% of respondents are piloting AI, while others already run it in production for analytics and risk scoring, surveillance and alerting, and document review.

The group stressed that the value of any use case depends on the problem being solved and the reliability of the output. Automating an administrative task demands far less scrutiny than an AI-assisted process feeding into decisions on conflicts or sensitive information.

Data volume was another sticking point. In conflict checking, extra information may reveal hidden relationships, yet it can also add noise and raise the cost of sourcing and maintaining data.

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