Build a collections agent
Build a Copilot Studio agent that prioritizes past-due accounts and coordinates outreach to improve cash-flow recovery.
Have Copilot prioritize overdue accounts and draft outreach instead of working the collections list in whatever order it happens to sit.
Collections effort focused on the accounts most likely to pay with the least friction, improving cash recovery.
Export the list into a Table with columns for days overdue, amount, and prior contact attempts (date and outcome of each).
Without that contact-history column, any ranking you build next just sorts by dollar amount, which routinely puts a large account you've already contacted twice ahead of a smaller one that's never been reached at all.
Have it rank accounts by a combination of amount, age, and likelihood to respond, and draft a first-contact message for each.
Prompt idea:
Rank these overdue accounts by priority considering amount, days overdue, and whether we've already attempted contact. Draft a brief, professional first-contact message for the top 10.
A collections message that's too aggressive damages a relationship worth keeping; one that's too soft doesn't get paid — check the tone fits each account's situation and history.
Note which accounts responded and how, so next cycle's prioritization reflects what's actually working.
Source: Microsoft Copilot Scenario Library — Collections coordination (2026)
A prioritized collections list with draft outreach messages ready for review per account.
Ranking by amount and days overdue is scoring a weighted formula could do. The agent's real contribution is drafting a first-contact message with a tone that fits whether this is the first outreach or the fifth.
Non-AI alternative: A weighted Excel formula can already rank by amount and age — the agent earns its place on the tailored outreach drafting, not the ranking.
Build a Copilot Studio agent that prioritizes past-due accounts and coordinates outreach to improve cash-flow recovery.
Have Copilot help plan and troubleshoot application deployment instead of working through installation issues one device at a time.
Marketing has one list of users, Sales has another. The names don't match perfectly.
You have a budget export, a status report, and an email thread — and they disagree.
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