// 01 · prove the use case
AI Workflow Value Sprint
One use case proven, or killed, in two to three weeks.
We map one workflow, measure what it costs today, and build an interactive proof on representative documents. You leave with a decision backed by evidence: a use case worth building (with a roadmap and a fixed proposal), or a clear reason to stop before spending build money.
- duration
- 2–3 weeks
- terms
- Every engagement is fixed-scope, with a written proposal after a diagnostic conversation.
// fit
Who this is for
Operators with many candidate AI ideas and no defensible priority.
a fit when
- You have more candidate AI ideas than capacity and no defensible way to rank them
- The workflow runs on documents or decisions with a real cost of error
- You want evidence before committing to a build
not the right call when
- The workflow is already proven and you need it built. Start the Production Agent System conversation instead
// deliverables
What you get
- Workflow map: how the work actually moves, where it stalls, and who touches it
- Baseline economics: what the workflow costs today in time, money, and error
- Risk and evaluation plan: what failure looks like and how the system will be measured
- Interactive proof on representative documents
- Production roadmap for the workflows worth building
- Fixed proposal for the build
// method
How it runs
Every engagement runs on the studio method. This one carries its weight in Discover and Prove.
- // 01
Discover
Map the workflow as it actually runs: the documents, the systems, the people, and where time and errors concentrate. Establish what the work costs today.
- // 02
Prove
Take the narrowest valuable slice of the workflow and build an interactive proof on representative documents, measured against the baseline.
- // 03
Build
Engineer the production system: integrations, retrieval and tool layer, review queues, observability, and access controls, built around the proven workflow, not around a demo.
- // 04
Operate
Run the system on real work, measure it in production, and hand it off: documentation, walkthroughs, and a team that can maintain it without us.
The full method (evaluation gates and human-control points included) is on the homepage.
Data security, model choice, IP, deployment, and timelines are covered in the site FAQ.
Discuss this workflow
Every engagement is fixed-scope, with a written proposal after a diagnostic conversation.