AI automation requirements template
Use this guide to turn a vague automation idea into requirements a builder can actually implement, test, and maintain.
Write the workflow in one sentence
If the goal cannot be summarized clearly, the scope is probably too broad for the first build.
List every system touched
Automation quality depends on knowing where information enters, where it should be stored, and who needs to see the result.
Define acceptance criteria
Good requirements make testing possible. A workflow should have clear pass or fail conditions before launch.
What to confirm before you build
Step 1
Document the current process
Capture the manual steps, tools, owners, delays, and error points that exist today.
Step 2
Define the future process
State what the automation should do, what humans still own, and when exceptions occur.
Step 3
Specify systems and fields
List the exact objects, fields, calendars, inboxes, and notification channels used by the workflow.
Step 4
Approve test cases
Create examples for normal cases, missing data, duplicates, sensitive requests, and escalation events.
Questions buyers ask before launch
Do AI automation projects need requirements?
Yes. Requirements prevent vague AI experiments by making the workflow, data, systems, rules, and launch criteria clear before development starts.
What is the most important requirement for AI automation?
The most important requirement is the workflow outcome: what should happen, where the result should be recorded, and when a human must review or intervene.