Start with the work.
Work through one repeated workflow before you fund a platform. Define the evidence, the approval boundary, and the conditions that make the system safe to run.
Make the boundary explicit.
A useful AI system has a narrow job, named sources, visible failure states, and a person who owns the consequence.
- 01Name the repeated job
Choose work with a clear trigger, a known owner, and an outcome your team can check. Avoid a broad transformation brief.
- 02Map evidence and consequence
Define the sources the workflow may use, what it must prove, and which actions need a person to approve them.
- 03Decide what to build
Leave with a scoped workflow, a test plan, and a direct recommendation: build, buy, wait, or stop.
A plan your operators can test.
The scope depends on the workflow. A typical engagement defines the operating path before implementation starts.
- AWorkflow map
Trigger, inputs, decisions, actions, owner, and completion state.
- BEvidence and failure checks
What the system must cite, reject, or route to a person.
- CImplementation recommendation
A scoped next step with the main risks and dependencies named.
Bring us one workflow.
Tell us what starts it, where it gets stuck, and what a good result looks like.