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Organize responses to my auditor's PBC request list

Turns an auditor's prepared-by-client list into a tracked plan with owners, due dates, and notes on what each request really needs.

Finance & AccountingFew-ShotStandardFinanceAnalyzePlanFill-in Template

The prompt

Help me organize and respond to my external auditor's PBC (prepared by client) request list. The PBC list: [PASTE requests] Audit timeline: [fieldwork dates, deadline for PBC items] Our team and who owns what: [NAMES/ROLES] Systems where the evidence lives: [e.g. "NetSuite, Bill.com, Gusto, shared drive"] Issues from last year's audit: [e.g. "late cut-off support", "management letter point on access controls"] For each request: 1. Restate in plain words what the auditor is actually trying to test (e.g. completeness of liabilities, revenue cut-off, existence of cash). 2. List the specific documents or reports that satisfy it, and the system report name if obvious. 3. Flag requests that are ambiguous - draft a one-line clarifying question to the auditor. 4. Flag items that are likely to raise follow-up questions, and what to prepare in advance (e.g. reconciliation tie-outs, explanations of large manual entries). Return: 1. A tracker table: # | Request | What they're testing | Evidence to provide | Owner | Due | Status | Clarifying question. 2. The 5 requests most likely to delay the audit, and how to get ahead of them. 3. A short email to my team assigning items with dates in bold. Don't suggest altering, backdating, or recreating documents - if support doesn't exist, mark it [NO SUPPORT - DISCUSS WITH AUDITOR].

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • PASTE requests
  • fieldwork dates, deadline for PBC items
  • NAMES/ROLES
  • e.g. "NetSuite, Bill.com, Gusto, shared drive"
  • NO SUPPORT - DISCUSS WITH AUDITOR

How this prompt is built

This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.

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