Choose the smallest useful engagement for one defined AI workflow, from testing the first working path to supporting an active deployment.
Find your starting point
Choose the situation closest to yours. Each link explains the scope, price, timing, and boundaries.
Three ways to move one defined workflow forward.
About two weeks after readiness and access are confirmed
Turn one AI workflow idea into a working thin slice that can be tried, measured, and used to decide what to build next.
About four to six weeks after readiness and access are confirmed
Build and release one useful AI workflow with the integrations, evaluation, failure handling, and handoff needed for an agreed pilot.
Monthly; the proposal confirms the start, cadence, and scheduled capacity
Add recurring senior delivery capacity for one active AI workstream without creating an open-ended support promise.
Starting prices exclude VAT and are set independently in each currency, not converted live. Applicable taxes are confirmed in the proposal.
Need clarity before committing to a build?
Use the diagnostic when the workflow, evidence, risks, or release boundary still need to be mapped.
Confirmed in the written proposal after qualification
Turn a blocked deployment into an explicit workflow map, evidence-ranked risk picture, and recommended next step.
Good fit
Before work starts
Three short steps before any paid work begins.
If a working demo still has unclear ownership, evidence, failure handling, or rollout boundaries, use the AI demo to production readiness checklist to frame the conversation.
Tell me what should work, what is blocked, and when it matters.
We check the context and choose the smallest useful engagement.
You get the scope, boundaries, price, and expected result in writing.
A short email about the user, the blockage, and the timing is enough to start.
