From AI Governance to Growth

Kris Brown, Executive Vice President of Partner & Solution Engineering, RecordPoint

AI is advancing faster than most enterprises can govern it. Without centralized oversight, companies face regulatory exposure, ethical risks and unchecked shadow AI. According to a recent Anagram survey, 78% of respondents said they are already using AI tools on the job, often in the absence of clear company policies, and 45% confessed to using banned AI tools at work. This “shadow AI” trend exposes businesses to data risks, compliance breaches and reputational damage. While 44% of companies have AI governance policies, most lack the infrastructure to enforce them effectively.   

There is a lot of work to do to ensure readiness. To close the gap, you need to turn high-level governance policies into enforceable workflows so you can deploy AI confidently, compliantly and at scale. 

What you will learn:

• Why messy data raises risks: shadow AI, data leakage, stalled AI rollout, lack of competitiveness.  
• The governance challenges AI brings: compliance, privacy, and shadow AI.
• How to accelerate deployment of AI governance and platform enablement with data governance.