Begin with the work
Define the person, workflow and outcome the system serves. A prototype can help you learn quickly, but it should be tested against a real business need.
Understand what has been built
Review data flows, permissions, dependencies and the main user journeys. Find out where the system relies on assumptions, manual work or missing integrations.
Give AI a clear role
Agree which tools can access which information. Use AI to assist implementation and analysis while keeping architecture, review and release decisions accountable.
Test the difficult moments
Check what happens when access is denied, data is missing, an integration fails or a user repeats an action. Happy-path demonstrations only show part of the picture.
Plan for the next day
Before launch, establish monitoring, backups, operational ownership and a support process. A dependable digital service needs care after its first release.