OPERATEOPS-AOP-01Operate services
AgentOps & AI Product Ownership Retainer
Outcome in one sentence: Models and agents stay controllable across releases, evaluation, costs and risks.
Ideal customer / problem / Not a fit (scope-out)
Ideal customer / problem
Team after a RAG/agent pilot without a durable AI-PO/AgentOps model.
Not a fit (scope-out)
- 24/7 SRE
- hosting/model fees
- model validation as an independent function
Fixed deliverables
- Monthly backlog/release steering
- eval and cost report
- incident/change triage
- vendor change review
- QBR
- up to agreed hours
Scope, prerequisites, effort
- Scope, prerequisites, effort: up to 3 AI use cases/2 models; 10 PD/month; business hours
- Prerequisites: owner; telemetry; eval suite; incident process; vendor terms
- Aufwand/Effort: Planned: 15–30 hours/month.
- Duration: 6 months min.
Objective acceptance
Monthly acceptance against cadence/SLO – not against model infallibility.
Human Approvals
AI business owner accountable; CISO/legal/model risk approve
no release after a failed critical eval; a named human approves every release
FAQ
What scope is included?
Up to 3 AI use cases/2 models with 10 person-days per month, business hours; overage is transparent.
How are model changes handled?
Vendor change review with benchmark/regression and documented approval – no silent model change.