01
Workflow fit
Compare representative and exceptional cases with the current process, including human review.
PROVE BEFORE YOU SCALE
Evidence beyond the demo.
Test the conditions between a working AI demo and a system your team can operate, before committing to the next investment.
Explore the decision ↓01 / EVALUATION
Quality is one part of the decision.
02
Information and access
Confirm sources and access boundaries. Include questions the system should not answer.
03
Operations and cost
Record latency, review effort, usage cost and update effects, together with workload assumptions.
02 / DELIVERABLES
Four deliverables for the next decision.
01
Evaluation plan
Document tasks, hypotheses, data, methods, decision owners and exclusions.
02
Scoped prototype
Build the capabilities required for evaluation and identify differences from production.
03
Results and failure cases
Record individual failures, review effort and differences between conditions, alongside aggregates.
04
Production decision brief
Describe open issues, integrations, operating responsibilities and next-stage scope, including reasons to stop.
03 / BEFORE WE BEGIN
Bring the real workflow, not a perfect specification.
Current tasks and specific difficulties
Types of available data and documents
Expected outcomes and unacceptable failures
Users, reviewers and target timing
Costs are scoped to the evaluation.
Data preparation, integrations, evaluation cases and controls shape the work. We separate PoC and production scope and agree on deliverables and decision criteria.
How we scope an estimate ↗FIND YOUR AI OPPORTUNITY
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