How to Decide Where AI Belongs
09 · Guided Acceleration · Lesson 01 of 08
How to Decide Where AI Belongs
AI is useful when the task, inputs, acceptable error, reviewer, and required outcome are clear enough to evaluate.
Key things to understand
Questions this lesson answers
- What problem are we asking AI to solve?
- What can AI prepare, and what must a person decide?
- How much control does this task require?
- What is the Inspire approach to decide where ai belongs?
- What signs tell me AI is being used in the wrong part of the work?
- What should I do if AI was given a decision it should not make?
- Where can I learn more?
01
What problem are we asking AI to solve?
AI is useful when the task, inputs, acceptable error, reviewer, and required outcome are clear enough to evaluate.
02
What can AI prepare, and what must a person decide?
- Name the work before choosing the tool: summarize, compare, draft, classify, calculate, visualize, code, or automate.
- Rate the consequence of a wrong answer and require more control as the consequence rises.
- Keep human judgment, approval, and accountability explicit.
03
How much control does this task require?
- Start with a bounded, reversible task.
- Define what the system may recommend and what it may never decide.
- Measure time saved together with correction rate and outcome quality.
04
What is the Inspire approach to decide where ai belongs?
Use AI to remove friction around judgment rather than removing judgment itself. Let it prepare options, expose patterns, and accelerate iteration so people can spend more attention on the decision that shapes the work.
05
What signs tell me AI is being used in the wrong part of the work?
Stop any external action that depends on the output and identify what human judgment, authority, source, or context was bypassed. AI is better suited to bounded assistance than decisions involving safety, rights, private information, or commitments it cannot understand.
- Beginning with a tool instead of a problem.
- Automating a decision no one knows how to review.
- Calling faster output better output without measuring rework.
06
What should I do if AI was given a decision it should not make?
Return the decision to the responsible person, correct the affected artifact from governing sources, and redesign the workflow so AI prepares or checks work without becoming the unreviewed approver.
- Trace every downstream use of the output.
- Record the human owner and acceptance test.
- Remove automatic action until the revised boundary is proven.
07
Where can I learn more?
Optional project tool
Apply this lesson
Open a worked example and a printable page for recording the condition, source, decision, and stopping point.
Reviewed by Inspire Hardware · 2026-08-30


