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AI AdvisoryJun 03, 20266 min readBy Justin Kane

AI Governance for SEC-Registered Investment Advisers

For a registered adviser, the bar is AI governance that survives examination. Here is what conservative, examination-ready governance actually looks like.

AI Advisory illustration

For a registered investment adviser, the question is not whether AI is useful. It is whether your use of it would survive examination. That changes the whole posture. Governance for a regulated adviser is conservative by default, and it has to match what the firm can actually do, not just what a policy document claims.

Why a generic AI policy is not enough

Most off-the-shelf AI policies sort data by document type. For a regulated adviser, that is not sufficient, because the obligation attached to information matters as much as the kind of information it is. The same data can carry very different handling requirements depending on the commitment or restriction that governs it. A policy that ignores that distinction will not hold up when an examiner asks how you control AI.

What conservative, examination-ready governance includes

A data classification keyed to authorization. A GREEN, YELLOW, RED model that tells your team, and an examiner, exactly which AI tools can touch which material and why.

Tightly scoped tool permissions. AI features enabled only where they are appropriate, and disabled or restricted where compliance risk outweighs convenience.

An acceptable-use policy, certification, and training. Not a binder nobody reads. A clear policy, an employee certification, and training people actually follow.

Governance paired with infrastructure. The policy has to match reality. If sensitive data should stay inside the firm, the infrastructure has to make that true, not just assert it.

What this looks like in practice

For a regulated adviser, we established conservative AI governance designed to survive examination: tightly scoped tool permissions, the GREEN, YELLOW, RED classification, and AI features disabled or restricted where compliance risk outweighed convenience. We paired it with the infrastructure, including an on-premises AI proof of concept, so the governance reflected what the firm could actually do. Those patterns now carry across other regulated clients.

Right-sizing it

Conservative does not mean heavy. A smaller adviser does not need an enterprise compliance apparatus. It needs a clear policy, a short approved-tools list, scoped permissions, and a twenty-minute training that staff will follow. The goal is governance an examiner respects and staff actually use.

Key takeaways

  • For a registered adviser, the bar is governance that survives examination, not internal comfort.
  • A generic policy sorts by document type. You need classification keyed to authorization.
  • Scoped permissions and restricted AI features where compliance risk outweighs convenience.
  • Governance has to be paired with infrastructure so the policy is real, not aspirational.
  • Conservative does not mean heavy. Right-size it to a policy and training staff will follow.

Talk it through

Questions about examination-ready AI governance? Start with a 30-minute call.

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