ThinkWithPrompt by SynotticThinkWithPrompt

Redesign a process with AI and human review checkpoints

Rebuilds a workflow step by step into automation, AI-drafted, and human-only work, with named review checkpoints, accountability, and risk controls.

Working with AIFew-ShotAdvancedAnalyzeFill-in Template

The prompt

Redesign this process so automation, AI, and people each handle the steps they suit best, with clear human review checkpoints. I already know AI could help here; I need the redesigned workflow. Process: [NAME and purpose] Current steps: [PASTE steps with who does them, systems used, and time each takes] Tools available: [e.g. Microsoft 365 Copilot, ChatGPT Enterprise, Power Automate, Zapier, our CRM] Data involved: [types of data - customer, financial, personal, confidential] Company AI policy or limits: [OPTIONAL - what is approved] Who is accountable for the final output: [ROLE - e.g. "AP team lead"] For each step, decide the best mode: - Automate: rule-based, repetitive, structured data, no judgment (e.g. moving data between systems, reminders, routing). - AI executes, human spot-checks: low-risk, easy to verify, reversible (e.g. first-draft summaries, tagging, formatting). - AI drafts, human decides: needs judgment, but AI can speed up preparation (e.g. analysis, recommendations, customer replies). - Human only: high stakes, accountability, empathy, ethics, legal effect, or decisions about people. Explain each choice using: consequence of an error, how easy errors are to spot, reversibility, data sensitivity, and whether a person must be accountable. Return: 1. A table: Step | Current owner | Mode | Tool | Why | Human checkpoint | Error risk. 2. The redesigned workflow as numbered steps, showing handoffs between AI, automation, and people. 3. Where human judgment is required: for each checkpoint, who reviews, what they must check, and what triggers sending work back. 4. Estimated time saved per run, using my times only; mark estimates [EST]. 5. Risks: hallucination, data leakage, over-trust, bias, and the controls for each. 6. A small pilot to test the design. Don't put confidential or personal data into tools not approved by my company. People remain accountable for decisions; AI output must be reviewed before it reaches customers or affects employees.

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

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What to fill in

  • NAME and purpose
  • types of data - customer, financial, personal, confidential
  • OPTIONAL - what is approved
  • ROLE - e.g. "AP team lead"
  • EST

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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