Start with the work, not the agent
A 15-minute decision map for one task you repeat every week.
When inputs arrive in different formats, a manager can spend more time waiting, copying, and correcting than preparing the actual update.
A clear trigger, approved inputs, instructions, output, and owner can turn that scramble into a process that is ready for the right level of support.
Use the DIRECT© Prompt below to choose one recurring task, expose the friction, and decide what AI can prepare, what a person must own, and what should stay manual for now.
TL;DR
A tool cannot repair an unclear handoff, so define the work and the responsible person before adding AI.
Podcast Drop: Listen for one practical idea, test one small change, and keep only what improves the workflow.
Let AI organize approved notes and flag gaps, while the manager verifies facts, commitments, and the final message.
Use the copy-ready prompt to simplify one recurring task and classify each step as AI preparation, human decision, or connected-system work.
Map workflow in 15 minutes and finish with an owner, a review point, and one safe manual test.
OpenAI's workflow guide reinforces the value of defined triggers, permissions, evidence, and human review.
Webinar Announcement: Join our September 24 workshop to see how AI assistants, agents, human approvals, and automation come together in a real, repeatable workflow.
Community & Next Steps: Bring your one-workflow map and one unresolved question to the September Webinar session.
Quick List
Why This Matters
The risk shows up when the first version of the work reaches the wrong person, with missing context, unclear source material, or no agreed review point.
Adding AI too early can make the same unclear process run faster while leaving the manager responsible for hidden gaps. A connected system adds another layer because it must know what starts the work, which sources it may access, what rules to follow, where the output goes, and when a person must step in.
The LearnAIR™ recommendation is to make five things visible before choosing a tool: trigger, approved inputs, instructions, output, and owner. Then remove one unnecessary handoff and mark the decision point that remains human.
This approach also aligns with the NIST AI Risk Management Framework. NIST calls for clear roles and responsibilities in human-AI configurations and for human oversight processes to be defined and documented. The framework is voluntary guidance, not a guarantee that any particular workflow is safe or effective.
✦ 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: Listen for One Useful Change
Use the LearnAIR™ podcast playlist as a practical companion. Choose one conversation that helps you see a familiar task differently. Listen once, capture one useful idea, test one small change in a safe example, and keep only what makes the work clearer.
AI Use Case: Turn Mixed Weekly Notes Into a Review-Ready Brief
A manager does not need an autonomous agent to improve the weekly update. The first useful test is narrower: give an approved AI assistant the same small set of notes a person would review, ask it to organize those notes into the agreed format, and require it to flag what is missing instead of filling gaps.
AI may help:
Normalize headings and formatting.
Group notes under progress, blockers, decisions, and next steps.
Identify missing owners, dates, or supporting detail.
Separate confirmed information from open questions.
Draft a concise review copy without inventing updates.
The manager must review:
Whether every statement is supported by an approved source.
Whether commitments, risks, and names are accurate.
Whether a gap should be chased, disclosed, or left out.
Whether the final brief is ready to send.
Consider a connected workflow only after the intake format works consistently and the team has confirmed permissions, routing, exception handling, and ownership.
The DIRECT Prompt©: Map the Work Before You Connect It
Complete the square-bracket placeholders, then paste the full prompt into an approved AI tool. Remove or anonymize confidential information before use.
D - Doing
Map and simplify one recurring task. Recommend whether it should stay manual, use AI assistance, or become a connected workflow.
I - Information
My role: [ROLE]
Recurring task: [TASK]
Frequency: [DAILY / WEEKLY / MONTHLY]
Trigger: [WHAT STARTS THE TASK]
Current steps: [STEPS + APPROXIMATE TIME]
Approved inputs/sources: [FILES / SYSTEMS]
Required output: [DESCRIBE OR PASTE TEMPLATE]
Accountable owner: [PERSON / ROLE]
Human decisions or approvals: [LIST]
Systems involved: [SYSTEMS / NONE]
Constraints: [TIME / BUDGET / PRIVACY / POLICY]
Known exceptions: [LIST]
R - Role/Persona
Act as a human-centered workflow analyst. Simplify the work before recommending technology. Keep important decisions and accountability with people.
E - End Goal/Result
Return:
Top friction: Three sources of delay or rework.
Workflow map: Trigger → Inputs → Instructions → Output → Owner.
Step classification: Label each step:
AI MAY PREPARE
PERSON MUST DECIDE
CONNECTED SYSTEM NEEDED
KEEP MANUAL
Simplify: Identify one step or handoff to remove or improve.
Human review: State what the owner must verify.
Safe test: Give a simple 15-minute manual test.
Recommendation: Choose AI assistance, connected workflow, or keep manual and explain why.
C - Context
Do not invent missing information. Mark anything unclear as [CONFIRM].
Use only approved sources. Keep sensitive information out of the workflow. Assign consequential decisions involving people, money, legal, privacy, safety, or external commitments to a person.
Test manually before recommending a new connection or purchase.
T - Tone/Style/Format
Use plain workplace language.
Keep the response concise and use:
One workflow table
One step-classification table
A short test plan
A final Confirm Before Testing list
Action Steps: Build Your One-Workflow Map in 15 Minutes
Use a recent, low-risk example.
Choose one repeated task. Pick something you do weekly. Save one recent input and the finished output, using a sanitized example if the originals contain sensitive information.
Write the current path. List every step, including waiting, copying, reformatting, correcting, and chasing approvals. Add a rough time beside each step.
Remove one handoff and define done. Name the trigger, delete or combine one unnecessary step, and write one sentence that describes a finished output.
Classify the remaining work. Mark each step AI MAY PREPARE, PERSON MUST DECIDE, CONNECTED SYSTEM NEEDED, or KEEP MANUAL. Name the person who owns the result.
Test the simplified process manually. Run the map on the safe example without connecting a system. Stop if the source, permission, or owner is unclear. Save the map and bring one question for the September webinar session.
AI in the News: OpenAI Publishes a Practical Guide to Workflow-Based Agent Adoption
The guide describes a useful progression: start with a specific job, define its trigger and finish line, give the system only the necessary context and tools, and make evidence and human review visible. It also recommends naming the accountable owner, permissions, guardrails, and stop points before scaling.
This is the same decision readers are making in the one-workflow map. A process becomes easier to assist or connect when its inputs, ownership, and review boundaries are explicit.
Webinar Announcement: From AI Assistant to Digital Employee
Ready to move beyond one-off prompts?
Join us on September 24, 2026, from 11:00 AM to 12:00 PM PDT for a free, interactive workshop and live demonstration on turning AI assistance into repeatable business workflows.
You will learn how to:
Distinguish between AI assistants, agents, automated workflows, and digital employees.
Customize AI for specific roles and recurring work.
Recognize when an AI agent needs workflow automation and connected tools.
Build human approval points into AI-supported processes.
Identify one recurring task from your work that may be ready for automation.
No coding experience is required. The session includes a live Q&A, replay access, practical examples, and continued community access.
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