AI Vendor Due Diligence Checklist

A Practical Framework for Evaluating AI Across Compliance, Distribution, and Supervision Operations
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AI is reshaping how financial firms manage compliance, get content into the field, and supervise communications. Before your firm adopts another AI-powered solution, make sure it’s built to withstand the scrutiny your business demands — not just impress you in a demo.

1. Architectural Design

  • Is compliance logic governed by deterministic rules — and can the vendor explain where AI is used vs. policy-aligned workflows?
  • If the system generates a poor result, can the vendor explain exactly why — without relying on confidence scores?

2. Auditability & Regulatory Defensibility

  • Can every AI-assisted decision be fully reconstructed — with a documented trail of inputs, rules applied, and outputs?
  • Could your firm answer a regulator’s question about a specific AI-assisted decision made two years ago?

3. Operational Impact & Cycle Time

  • Does AI reduce manual workload without creating new model-tuning or validation obligations?
  • Can the vendor demonstrate measurable reduction in approval and rework cycle times — in real production, not demos?

4. Content Distribution & Field Enablement

  • Does the platform shorten the path from approved content to the people who need it — with permissions and jurisdictional alignment built in?
  • Does field usage data flow back upstream to inform content strategy and compliance decisions — or does the system go dark after approval?

5. Signal Quality & Oversight

  • Does the system prioritize precision over volume — filtering noise before it reaches reviewers or supervisors?
  • Does oversight extend across the full content lifecycle — including communications supervision and post-distribution monitoring?

6. Data Privacy & Firm Data Controls

  • Is your firm’s data fully segregated from model training — and can the vendor clearly state what data is and is not fed into their models?
  • Would you be comfortable explaining this vendor’s data handling to a regulator during an examination?

7. Vendor Accountability

  • Was this platform built by former CCOs and practitioners — or by AI researchers?
  • How long has this vendor operated under regulatory scrutiny? Years of defensible outcomes — or promises?

The Bottom Line

AI should make your firm faster, more confident, and more connected across compliance, distribution, and supervision — without creating new exposure. If a vendor can’t demonstrate restraint, structure, and proof, they haven’t earned your trust yet.
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