How to choose a useful first AI workflow
Begin with recurring work your team can describe and evaluate. The strongest starting point has recognizable inputs, a clear next step, and someone who knows what a good result looks like.
Start with the work, not a tool
Write down the trigger, the information someone needs, the steps they repeat, and the output the next person uses. Document collection, a recurring report, and a review handoff are easier to evaluate when the current process is visible.
Avoid treating a vague goal such as ‘use AI everywhere’ as a project brief. A practical brief explains where people spend attention and which improvement would matter.
- What starts the work?
- What counts as complete?
- Who receives the result?
Separate rules from interpretation
Use ordinary automation for clear conditions: a file arrived, a deadline passed, or a quote is above an agreed limit. AI can help read unfamiliar wording, prepare a summary, or find a relevant passage. Keep the interpretation separate from the rule and action so each can be checked.
- Which checks have an unambiguous rule?
- Where does someone need to interpret information?
- Which decisions must remain with a person?
Check that the inputs are usable
The workflow depends on access to the right material. Identify available APIs, exports, folders, or approved intake channels. A system should not rely on access that has not been confirmed. Start with synthetic or de-identified examples when sensitive information is involved.
- Can the inputs be obtained through approved access?
- Can files be matched to the correct account or period?
- Who maintains the requirements or playbook?
Bring exceptions into the test
Use normal examples and difficult cases. Test missing fields, duplicate arrivals, conflicting sources, processing failures, and actions needing approval. Decide who owns each exception and what information they need to resolve it.
A workflow that handles the easy path but hides failures is difficult to operate. Make the stop condition and recovery path part of the agreed design.
- What should pause processing?
- Who is alerted?
- What source and reason should the reviewer see?
Agree on evidence before building
Record the current process and choose measures your team can compare: preparation time, corrections, completeness, or exception handling. Define how the examples will be assessed. A result from another client is a useful illustration of experience, not your baseline.
The existing reporting project’s preparation changed from hours to minutes. A different reporting workflow still needs its own inputs, checks, and evaluation.
- What is the current baseline?
- Which result would justify production?
- What limitations would change that decision?