Speed is useful only when the right person still owns the promise
When AI can draft and send in the same step, a confident mistake can become a customer commitment.
Separate preparation from external action so a person reviews the facts, exceptions, and consequences before anything leaves the team.
Use the DIRECT Prompt© below to build a review packet before anything is sent.
TL;DR
A prompt can describe a boundary, but the system’s permissions determine whether that boundary is enforced.
Podcast Drop: Listen for one workflow idea, then identify the moment where a person should approve, redirect, or stop it.
AI Use Case: Let AI prepare a customer reply from verified facts while the account owner retains authority over terms and sending.
DIRECT Prompt©: Use the complete prompt to produce a review packet with fact checks, risk flags, missing questions, and a clearly labeled draft.
Action Steps: Build and test a prepare, approve, and stop boundary in 15 minutes before enabling any external action.
AI in the News: OpenAI’s updated Health connection permissions separate low-risk access from sensitive actions that still require confirmation.
Community and Next Steps: Bring one approval question to the September 24 webinar.
Quick List
Why This Matters
Generative AI can produce statements that sound certain even when a fact is missing. The NIST Generative AI Profile identifies both confabulation and over-reliance on automated outputs as risks, and recommends clear acceptable-use policies, representative testing, and documented approval roles. The practical lesson is simple: the greater the consequence, the clearer the handoff must be.
A written instruction such as “ask before sending” helps the model understand your intent. It does not, by itself, remove the send button, limit access, or force the connected system to pause. The workflow needs both layers: instructions that tell AI what to prepare and configured controls that determine what it is allowed to do.
Human-first principle: AI can assemble the work and surface the decision. A named person remains accountable for the promise, exception, or external action.
✦ ChatGPT: Summarize + 3 action steps
◈ Copilot: Highlight Most Practical Use cases
⬡ Perplexity: Extract Key insights + Main Takeaways
✳ Claude: Identify key insights + Suggest application to my work
✨ Gemini: Build a Team Discussion Guide
Podcast Drop
Use the LearnAIR™ podcast as a short workflow review. Listen once, capture one useful idea, test one small change, and keep only what improves the work. As you listen, ask: where would this workflow need a human checkpoint before it creates a promise or changes a record?
AI Use Case: Customer Reply Approval Coordinator
Use AI to prepare a customer-facing response from approved information without giving it authority to send, promise, or make an exception.
What You Provide
The customer request and the channel it arrived through.
Approved product facts, delivery information, pricing, or policy language.
The account owner, approver, and escalation contact.
The commitments AI must never invent or approve.
What AI Prepares
A short summary of what the customer is asking for.
A fact check that separates verified details from missing information.
A list of commitments, exceptions, or sensitive claims that require approval.
A reply draft that uses only the approved facts.
A clear stop notice when the request is outside scope or the sources conflict.
An approval record showing the reviewer, decision, and next action.
What the Person Decides
Whether the facts are complete and current.
Whether any terms, promises, or exceptions are acceptable.
Whether to approve, revise, escalate, or stop.
When the final message is ready to send through the approved channel.
The DIRECT Prompt©
Build a Review Packet Before Anything Is Sent
Replace the bracketed fields, then run this prompt with the customer request and approved source material. Keep sending manual until the system-level permission and approval controls have been tested.
D - Doing: Review the incoming [customer or employee request] and prepare a response for human approval. Do not send, publish, submit, book, purchase, update a record, or take any external action.
I - Information:
Request: [PASTE REQUEST]
Approved sources: [PASTE OR ATTACH CURRENT POLICY, PRODUCT FACTS, TERMS, OR KNOWLEDGE]
Workflow owner: [NAME AND ROLE]
Required approver: [NAME OR ROLE]
Approved commitments: [LIST]
Prohibited or restricted commitments: [LIST]
Escalation contact: [NAME OR ROLE]
Response deadline: [DATE AND TIME]
System or channel: [EMAIL, CRM, HELP DESK, OR HR PORTAL]
R - Role or Persona: Act as a careful sales, support, or HR workflow coordinator. You may organize verified information, identify gaps, and prepare a draft. You do not have authority to approve terms, invent facts, or communicate externally.
E - End Goal or Result: Produce one review packet with these headings: Request Summary; Verified Facts; Missing Information; Commitments and Risk Flags; Draft Response; Approval Decision; Audit Note. Under Approval Decision, show only one status: READY FOR HUMAN REVIEW, NEEDS INFORMATION, ESCALATE, or STOP.
C - Context: Use only the supplied approved sources. If a required fact is absent, ask a specific question and mark NEEDS INFORMATION. Never invent or assume pricing, discounts, delivery dates, refunds, deadlines, scope, legal or policy interpretations, eligibility, employment decisions, or exceptions. Require approval for any term, timeline, exception, sensitive-data use, or external transmission. Stop when the request is outside [DEFINED SCOPE], sources conflict, identity or authority is unclear, or the requested action exceeds the available permission. Label the response as DRAFT FOR REVIEW. The named approver makes the decision and the human sends manually until the system controls have passed testing.
T - Tone, Style, or Format: Write in [BRAND VOICE]. Keep the customer-facing draft under [WORD COUNT] words. Use plain language and complete sentences. Present facts and missing information in concise bullets. Put the approval status on the first line. Do not use em dashes.
Action You Can Take This Week: Build the 15-Minute Approval Boundary
Choose one output that could leave the team. Use a customer email, support response, or policy answer. Write down the consequence if the answer is wrong or sent too early.
Define the prepare boundary. List what AI may summarize, check, classify, or draft using approved information.
Define the approval boundary. Name the person or role who must review terms, exceptions, sensitive information, and external communications.
Define the stop boundary. List the missing facts, conflicts, out-of-scope requests, and permission gaps that must pause the workflow.
Configure the real controls. Set access and approval controls in the chosen system before enabling external actions. A prompt is guidance. A permission setting is enforcement.
Test and record three cases. Test one complete request, one request with a missing fact, and one request outside scope. Keep sending manual until every approval-required test pauses before execution.
Prepare Approve Stop Checklist
Prepare | Approve | Stop |
|---|---|---|
Summarize the request | Terms and promises | Required fact is missing |
Check against approved sources | Exceptions and policy interpretation | Sources conflict |
Draft the response | Sensitive data use | Request is outside scope |
Flag risks and questions | External send or record change | Approver or authority is unclear |
AI in the News
OpenAI Updates Permissions for New Health Connections
OpenAI says new Health plugin connections now follow each user’s global plugin permission setting. If the user has not changed that setting, the default allows low-risk actions. Sensitive actions, such as emailing a training plan based on health data to another person, still require permission.
A platform default is not the same as your team’s approval policy. Before connecting a workflow, review what the setting permits, identify which actions are sensitive in your context, and confirm who has authority to approve them.
The update makes the prepare-versus-act distinction visible. Routine access can move with less friction while a sensitive external action still stops for confirmation.
Review the permission level before you connect the workflow, then test the exact action that should pause.
Webinar Announcement: From AI Assistant to Digital Employee
Thursday, September 24, 2026 at 11:00 AM PDT
There are only two days left to register and prepare your workflow question.
Join us for From AI Assistant to Digital Employee: Automating Real Workflows to see how human approvals, checkpoints, and responsibilities fit into a real AI workflow.
Register now and bring one workflow you want to automate safely.
Share This
Send this issue to the sales, support, HR, or operations owner who decides when an AI-assisted workflow may act outside the team.
Copy and share: We are defining where AI may prepare the work, where a person must approve it, and when the workflow must stop. This checklist can help us test the boundary before anything is sent.
Community and Next Steps
Choose one outgoing message this week and define its prepare, approve, and stop boundaries. Then bring your hardest approval question to the live webinar.
The webinar is Thursday, September 24, at 11:00 AM PDT. Bring one workflow you want to automate safely.
Community question: Which outgoing message would you trust AI to prepare, and which decision must remain yours?
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