Workflow design
Start with the task, user, decision boundary and failure consequence—not with a model demo.
The model is only one component. Production AI needs context, permissions, evaluation, cost control, observability and clear human boundaries.
Start with the task, user, decision boundary and failure consequence—not with a model demo.
Design retrieval around source permissions, freshness, traceability and operating ownership.
Measure useful task outcomes, difficult cases, escalation behavior and regressions as systems change.
Version prompts/configuration, control secrets, monitor cost/latency and define rollback and ownership.
Focused senior review and decision support.
Defined outcome, milestones, validation and handover.
Specialist capability integrated with your existing team.
Ongoing ownership of an explicitly agreed operating scope.
Bring the workflow, source material, risk tolerance and evaluation criteria. We will determine where generative AI adds value and what should remain deterministic.