Define the scope
Choose a specific task and state the actions, data and decisions the system is permitted to use. Start with a bounded workflow.
Topic guide
Reliable AI operations
Decide what an AI system may do, test how it fails and account for the work required to supervise it. A convincing demo is the beginning of evaluation, not the end.
Start here
Set acceptance criteria
Write expected outcomes before running tests. Include exceptions, unsafe actions and escalation, not only successful examples.
Plan for unavailable or stale data
Define what happens when a calendar connection fails or the price list is out of date. Do not turn uncertainty into a customer commitment.
Measure the complete cost
Count human review, corrections, failed runs and maintenance before calling the workflow a saving.
Further reading
Inspect the evidence
Explore writing by Dillon Kovljenic, our case studies and editorial standards. Explore the related Schkovl service if you need implementation help.