Why AI Capture Is the Foundation of Compliance and Intelligence

How Smarsh is helping financial firms turn AI governance from a compliance obligation into a strategic advantage

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Security, Compliance & RiskInterview

Published: July 23, 2026

Kristian McCann

In this episode of UC Today, host Kristian McCann sits down with Eric Wiggins, Product Marketing Director at Smarsh, to explore why AI capture is becoming the foundation of both compliance and business intelligence in financial services.

As generative AI becomes embedded across everything from client communications and portfolio analysis to employee productivity, many firms still lack visibility into how these tools are being used.

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.
Communication Compliance​Data Loss Prevention (DLP)eDiscoveryGenerative AI Security​Information ArchivingRegulatory Technology (RegTech)Security and Compliance
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