ILLUSTRATIVE WORKFLOW

What the experience could look like.

A representative test set reveals whether failures come from missing documents, retrieval, generation, permissions or tool execution. Improvements are checked against the same baseline.

DELIVERABLES / AGREED IN YOUR SCOPE

What a focused build includes.

A baseline and test set

Representative tasks, failure categories and task-specific acceptance criteria.

A diagnostic assessment

Quality, unsupported outputs, data boundaries, tool behavior, latency and usage cost.

A prioritised improvement plan

Recommendations for prompts, retrieval, model choice and workflow design.

A repeatable regression check

Versioned examples, recorded results and a handover for future changes.

ACCEPTANCE

Measure the workflow, not the demo.

Report results by failure category and use case. A small benchmark is not a universal accuracy, safety or business-impact guarantee.

BEFORE THE BUILD

Bring the inputs and the decision owner.

Access to the agreed implementation, safe example inputs, expected outputs and a person responsible for acceptance.

RELEVANT FOUNDER EVIDENCE

Engineering you can inspect.

TriageAI provides versioned offline model metrics and dated software validation. RegImpact provides release and deployment evidence.

Explore the engineering case study ↗

SCOPE AND RESPONSIBILITY

Define the operating boundary.

Fine-tuning is considered only after a baseline, data-rights review and evidence that simpler changes are insufficient. Advanced training and large-scale MLOps require a separate scope.