Why AI Capture Is the Foundation of Compliance and Intelligence

Throughout the discussion, Wiggins outlines why firms need a unified capture layer that records AI prompts, outputs, metadata, and related communications across platforms such as ChatGPT Enterprise, Microsoft Copilot, and Claude Enterprise.

Key discussion points:

• Why the biggest AI governance gap is the lack of captured evidence—not a lack of AI policies.
• The record-keeping, supervisory, privacy, and discovery risks firms face when AI interactions are not captured.
• Why policy and employee training must be supported by comprehensive AI capture to deliver effective governance.
• How Smarsh creates a unified governance layer across AI platforms and communication channels.
• How captured AI interactions become a valuable source of business intelligence, helping firms identify adoption trends, workflow improvements, and new opportunities.
• Why organizations that build AI governance early will be able to innovate faster while maintaining regulatory trust and gaining a competitive advantage.