ThinkWithPrompt by SynotticThinkWithPrompt

Draft a response to a regulator's information request

Plans and drafts an accurate, well-organized response to a regulator's request or exam finding, with an evidence index and review checklist.

Legal & ComplianceFew-ShotStandardLegalWriteAnalyzeFill-in Template

The prompt

Help me prepare a response to a regulator. Regulator and type of request: [e.g. information request, exam finding, inquiry letter, matter requiring attention] The request text: [PASTE each question or finding exactly] Deadline: [DATE] Facts and documents we have: [SUMMARY or PASTE] Actions already taken or planned: [REMEDIATION with dates and owners] Sensitivities: [e.g. related litigation, ongoing internal investigation, prior commitments to this regulator] Give me: 1. Response plan - each request item, owner, source documents, internal deadline, and reviewer. 2. Draft response - a cover letter, then answers numbered to match the request exactly. Each answer: direct answer first, then supporting detail, then a reference to the attached evidence. 3. Remediation commitments (for findings) - specific, owned, dated, and achievable. Flag any date that looks unrealistic. 4. Evidence index - table: Exhibit #, Description, Responds to item #, Source, Confidentiality marking. 5. Pre-submission checklist - accuracy verified by the business owner, consistency with prior submissions, no over-promising, legal review, confidentiality requests, sign-off. Rules: - Answer what was asked, accurately and completely; do not volunteer speculation. - Never state something as fact unless I provided it; mark gaps [CONFIRM WITH OWNER]. - Respectful, factual tone; no defensiveness or minimizing. - Legal counsel should review before anything is sent.

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

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What to fill in

  • PASTE each question or finding exactly
  • DATE
  • SUMMARY or PASTE
  • REMEDIATION with dates and owners
  • CONFIRM WITH OWNER

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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