Prototype lane
AI Integration Prototype
A focused first build around one useful workflow, with clear inputs, outputs, review rules, and test cases.
The prototype is for a narrow workflow such as intake, research, reporting, knowledge retrieval, review queues, or staff handoff once the assessment shows the use case is clear enough to test responsibly.
A clear workflow after assessment Internal research and reporting tools Document search or knowledge retrieval flows
Focused prototype around one workflow. Workflow design and user definition. Prompt, LLM, and tool behavior
Select one workflow -> Define inputs, outputs, and review steps -> Build the prototype
Prototype pricing is public because the work is intentionally narrow. Larger workflow systems, buildouts, and retainers stay quoted after assessment or blueprint.
Deliverables
What this build actually includes.
The first version should be bounded, reviewable, and operationally clear. These are the concrete pieces that shape the initial implementation.
Deliverables
Prototype pricing is public because the work is intentionally narrow. Larger workflow systems, buildouts, and retainers stay quoted after assessment or blueprint.
Process
How the work moves into production.
The point is to move from business context to a bounded live system without hiding the review, approval, or handoff steps.
A prototype proves whether an AI workflow is useful before it becomes a larger system with more operational risk.
Start Here
Start with the free AI assessment.
Use the assessment to confirm whether AI Prototype is the right first move, identify the review boundaries, and scope the smallest useful implementation before build work begins.