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Definition · AI in finance

AI governance

AI governance is the policies, controls, and accountability over how AI is used, including cost, risk, and compliance. For AI governance, the useful boundary is the data it uses, the tools it can call, the approvals it needs, the review standard, and the finance decision it may influence before the output is trusted or automated.

Also known as AI risk management, AI oversight

Written by Pluvo TeamReviewed by Pluvo Team
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Why it matters

Understanding AI governance matters because AI-assisted finance work can sound confident even when data, assumptions, or compute paths are wrong. A useful definition keeps the output grounded, reviewable, and accountable. Pluvo supports AI governance in finance with source-traced numbers, approval workflows, and an audit trail, so AI-assisted analysis stays controlled and defensible.

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In practice

  • Governance example

    Teams use AI governance when they evaluate whether an AI-assisted analysis can be trusted. The useful test is whether the output is tied to approved data, repeatable logic, human review, and an audit trail.

  • Pluvo example

    Pluvo supports AI governance in finance with source-traced numbers, approval workflows, and an audit trail, so AI-assisted analysis stays controlled and defensible.

In practice, teams should define AI governance with a clear source, owner, time period, and decision before they use it in reporting, planning, or operating reviews.

Understanding AI governance matters because AI-assisted finance work can sound confident even when data, assumptions, or compute paths are wrong. A useful definition keeps the output grounded, reviewable, and accountable. Pluvo supports AI governance in finance with source-traced numbers, approval workflows, and an audit trail, so AI-assisted analysis stays controlled and defensible.

A strong workflow for AI governance separates the definition from the action: first agree what the term means, then decide how it is measured, when it changes, and who is accountable for the next step.

Pluvo supports AI governance in finance with source-traced numbers, approval workflows, and an audit trail, so AI-assisted analysis stays controlled and defensible.

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FAQ

What is AI governance?

AI governance is the policies, controls, and accountability over how AI is used, including cost, risk, and compliance. For AI governance, the useful boundary is the data it uses, the tools it can call, the approvals it needs, the review standard, and the finance decision it may influence before the output is trusted or automated.

What should AI governance cover in a finance team?

Use AI governance when the decision depends on what AI governance is — the policies, controls, and accountability over how AI is used, including cost, risk, and compliance — in a finance context. Before relying on it, confirm the source system, accounting treatment, time period, and owner so the term is applied consistently.

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Sources

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