Offer
Production Value Sprint
AI remains a demonstration. Integration, governance, KPI, and day-to-day operation for real work are missing.
- When to engage
- When a priority workflow is already clear and the organization needs a measurable result in production.
- Problem solved
- AI remains a demonstration. Integration, governance, KPI, and day-to-day operation for real work are missing.
- Scope
- Design and build of the workflow, agents, skills, integrations, Human-in-the-Loop, and passage through the Production Readiness Gate.
- Duration
- 15–30 days to a workflow in production and the first measurable outcome.
- Client participation
- Domain team, system access, a sample of live cases, and authority to approve rules and exceptions.
- Commercial model
- A delivery engagement for one workflow. Service is the entry point; the product is the outcome in production.
- Deliverables
- Workflow in production
- Instrumented economic or operational KPI
- AI/human responsibility matrix
- Operating runbook
- Quality and exception record
- Next step
- Managed AI Operations to run and improve the capability.
Acceptance
Production Value Sprint
- 01The Production Readiness Gate is met: functional, economic, quality, governance, operational.
- 02The agreed KPI is observable against baseline on live cases.
- 03Human-in-the-Loop, runbook, and exception path are in force.
- 04The case completes in the system of record.