We ask
What is slow, repetitive, risky, or hard to verify? Who owns it? What happens if it stays unresolved?
Engagement process
Define the decision before we build the demo.
Every project starts with a real workflow, named users, clear boundaries, and a result that can be checked. The first build stays small enough to understand and useful enough to decide from.
01Technical fit
02Workflow review
03Prototype sprint
04Findings and decision
Stage 01
Technical fit call
Twenty minutes should determine whether there is a real job to scope, not force you through a product demonstration.
We check
Data boundaries, target users, existing systems, budget range, approval path, and the timeline that matters.
Exit condition
We either identify a useful first scope, recommend a smaller non-AI fix, or say the project is not ready.
Stage 02
Workflow and data review
Representative material is inspected before architecture or model choices are locked.
Current path
Map the user, steps, handoffs, systems, failure points, and current time or quality cost.
Source condition
Review sample files, ownership, format, staleness, access rules, and whether the data can leave the environment.
Acceptance check
Define prompts, tasks, latency, citations, hardware fit, or another observable result.
Written scope
Record deliverables, exclusions, fee, schedule, required access, change control, and the named client owner.
Stage 03
Prototype sprint
The build is instrumented for learning, not disguised as a production system.
Build
Create the smallest interface, integration, or hardware path that can test the agreed job.
Measure
Run the agreed cases, record failures, compare alternatives, and keep source and configuration receipts.
Review
Put the prototype in front of the named users and collect the objections that matter in daily work.
Control change
New workflows, integrations, and data sets become a written change, not silent scope growth.
Stage 04
Findings and implementation decision
The last meeting is a decision review, not a sales reveal.
What worked
Observed results, successful test cases, user feedback, and the environment in which they were measured.
What did not
Failure modes, unsupported conditions, data gaps, security concerns, and costs that change the case.
Next path
Proceed, revise the workflow, choose a simpler system, collect better data, or stop without a larger sunk cost.
Handoff
Prototype, diagrams, findings, source and version notes, walkthrough, estimate, and the next thirty-day plan.