Reconcile a budget export against actuals and draft commentary
Have Copilot Cowork compare an approved quarterly budget to actual spend and generate the variance commentary.
Have Copilot Cowork reconcile a batch of travel expense submissions against the written policy and flag violations.
Policy violations caught before reimbursement instead of discovered in a spend audit months later.
The apps run in this order.
Have the travel expense export and the current approved policy document ready — Cowork needs both to do the comparison, not just the numbers.
Unlike a single prompt, Cowork works through the whole batch end-to-end and returns a finished summary rather than a draft you have to assemble yourself.
Prompt idea:
Cross-check every expense in this travel submission export against the attached travel policy. Flag any submission that violates a spend limit, missing-receipt rule, or unapproved category, and cite the specific policy clause for each flag.
Open the flagged list as its own filtered Table and work through it top to bottom, resisting the urge to re-skim the full unflagged batch "just in case" — spending your time there defeats the point of automating the first pass, which is to concentrate review effort where an actual rule was broken.
Send flagged items back with the specific policy citation attached, so the conversation is about the rule, not a judgment call.
Source: A Guide to Cloud, "Microsoft Copilot Cowork — Complete Use-Cases Guide" (2026)
A summary sheet listing every expense that violates policy, with the specific rule cited for each one.
Every violation named — a spend limit, a missing receipt, an unapproved category — is a checkable condition against data already in the export, not a judgment call.
Non-AI alternative: A Power Automate flow or Excel formulas checking amount against limits, a receipt-attached flag, and category against an approved list already catch the same violations without AI.
Have Copilot Cowork compare an approved quarterly budget to actual spend and generate the variance commentary.
Examine customer usage data after purchase to flag accounts showing signals for an expansion or cross-sell conversation.
You have a budget export, a status report, and an email thread — and they disagree.
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