Lesson 533 of 2116
Career+: Build an AI Workflow Inventory
Before a team automates work, it needs a map. Learn how to inventory tasks, tools, risks, owners, and decision points without turning the exercise into busywork.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1Start With the Work, Not the Tool
- 2workflow inventory
- 3task mapping
- 4automation risk
Concept cluster
Terms to connect while reading
Section 1
Start With the Work, Not the Tool
Career+ AI adoption starts by naming the work people already do. A workflow inventory is a table of repeated tasks, the inputs they need, the decisions they make, the outputs they create, and the humans accountable for quality.
Compare the options
| Inventory field | Why it matters | Example |
|---|---|---|
| Trigger | Shows when the work begins | A customer sends a support email |
| Input | Shows what the model would read | Ticket text and account tier |
| Decision | Shows judgment involved | Refund, escalate, or explain policy |
| Output | Shows what leaves the system | Draft reply or internal note |
| Owner | Keeps accountability human | Support lead signs off on policy changes |
- 1Pick one team workflow that repeats weekly.
- 2List each step as read, decide, write, or act.
- 3Mark any step with private data, money, safety, legal, or reputation risk.
- 4Decide where AI can draft, where it can recommend, and where a human must approve.
- 5Write one improvement experiment instead of a giant transformation plan.
Key terms in this lesson
The goal is not to replace the team with a chart. The goal is to find the small, repeated places where AI can reduce friction without hiding responsibility.
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