As AI becomes a silent participant in enterprise communications, the rules of compliance are being rewritten. New research reveals the governance gap at the heart of the AI boom, and the urgent steps IT and compliance leaders must take to close it
It began quietly. A few meeting bots here, a transcription assistant there. However, in less than two years, AI has progressed from recording minutes to actively participating in the conversation.
Now, as machine-generated summaries, action points, and even recommendations flow through business channels, a new governance frontier has emerged, one that’s testing the limits of compliance across the world’s most regulated industries.
According to Theta Lake‘s 7th Annual Digital Communications Governance Report, based on data from 500 IT and compliance leaders in the financial services sector, 99 percent of firms are expanding AI in their unified communications ecosystems. Yet 88 percent say they’re struggling to govern AI-generated data and communications.
The rise of what Theta Lake terms “aiComms”; content produced by, or in collaboration with, AI, is now reshaping how risk, accountability, and compliance must be managed.
From Chat to Chaos: Understanding Risk and Compliance in the AI Era
The average financial firm now operates on six communication platforms, and the number using ten or more has more than tripled in a year. Each generates data with different retention, export, and security rules. Layer AI on top, from automated meeting summaries to synthetic assistants, and a single conversation can splinter into dozens of untracked data points.
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