Direct answer
Generic prompts produce generic drafts because they omit the source, constraints, definition of done, and reviewer. Use a controlled structure that names the approved source, bounded AI role, human decision, exception path, and measurement.
Reusable framework
Six parts to define before implementation
Context
Name the business task, audience, approved sources and system of record.
Bounded role
Ask AI to draft, classify, extract or summarize—not to assume unrestricted authority.
Rules
State prohibited actions, required fields, tone, format and evidence expectations.
Uncertainty
Require missing, conflicting and low-confidence information to be surfaced instead of guessed.
Review
Name what a person must verify before the result changes a record or reaches another person.
Output
Use a stable structure that another employee can inspect and repeat.
Example template
A bounded starting point
Prepare a draft response using only the supplied approved policy passages. Cite the passage used for each material statement. List missing account context and conflicting instructions. Do not promise a refund, eligibility, timing, price, or exception. Return the draft, sources, uncertainties, and reviewer checklist.
Related atlas entries
Apply the framework to a real workflow design
WF-007 · Support
Source-linked FAQ reply draft
Agents repeatedly assemble answers from several policies.
Build a test brief →WF-021 · Knowledge
SOP first draft
Repeatable work depends on one person's memory.
Build a test brief →WF-023 · Marketing
Owned-content repurposing packet
Teams rewrite the same owned idea for every channel.
Build a test brief →Frequently asked questions
Questions to resolve before implementation
What should AI be allowed to do?
Keep the AI role bounded to drafting, classification, extraction, or summarization from approved sources. A person remains accountable for consequential decisions.
What should stop the automation?
Stop when identity, permission, required facts, source quality, or confidence is unclear. Preserve the original record and route it to a visible manual-review queue.
How should a small business measure the result?
Compare the complete workflow with its manual baseline, including delay, corrections, exceptions, reviewer effort, and customer impact—not merely draft speed.
Keep these controls
- Use synthetic or specifically approved data for initial tests.
- Do not place passwords, payment information, regulated records or confidential files into an unapproved tool.
- Keep sending, publishing, payment, deletion, access changes and commitments under accountable human approval.
- Measure corrections, failure recovery and reviewer effort—not merely draft speed.