1. Prioritise revenue or capacity
Choose a workflow tied to qualified leads, faster delivery, reduced admin or better customer response—not novelty.
2. Map the process first
Write the current trigger, inputs, decisions, owner and final approval. Automating a broken process makes errors travel faster.
3. Protect customer information
Define what staff may enter and which plan is approved. Use business controls when individual accounts are not sufficient.
4. Pilot with a measurable baseline
Record time, error rate, turnaround and cost before the pilot. Compare after a realistic sample.
5. Plan ownership
Assign a person to review vendor changes, permissions, renewals and output quality. Cancel tools without a continuing benefit.
Worked example: customer enquiry triage
A small service company measures its current response time, then pilots AI classification on fifty anonymised past enquiries. The tool suggests categories and draft replies, while a staff member approves every response. The pilot succeeds only if response time falls without increasing corrections or privacy risk. The owner assigns one person to review permissions and renewals monthly.
Keep a decision record
Record the exact use case, tested plan, evidence links, sample input, result, known limitations, responsible reviewer and next review date. This makes the decision explainable when prices, policies or capabilities change.
Red flags to avoid
- Do not automate customer promises without approval.
- Do not measure success only by output volume.
- Do not leave ownership of the tool undefined.
Decision checkpoint
Write down the evidence, remaining uncertainty and next review date. For changing plan details, follow the official vendor links in the tool directory.