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AI variance commentary approval

Variance commentary is a good AI use case only when the model drafts from approved numbers and a finance owner signs off interpretation.

Published18 Jun 2026

Updated

Read time1 min · 149 words

Tool focusMicrosoft 365, Copilot

Variance commentary is one of the clearest finance AI use cases: take approved numbers, compare periods and draft the first explanation. It is also a clear risk if the model invents a cause or turns an assumption into a fact.

Practical SME workflow

Start with a variance commentary AI workflow. Give AI the actuals, budget, prior period, KPI definitions and known events. It drafts commentary as "possible drivers" with source figures and questions. Finance rewrites and approves the final wording.

Risk and control

Keep assumptions visible. Ban unsupported wording like "caused by" unless a person has checked the business event. Board-facing commentary needs a named finance or leadership reviewer and a record of source figures.

Source basis

Related notes

18 Jun 2026 · 1 min

Board pack commentary with AI

AI can draft board-pack commentary from approved figures, but leadership must own interpretation, recommendations and final wording.

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AI policy for finance teams

A finance AI policy should be plain: what sources are approved, what data is blocked, who reviews output and what cannot be automated.

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