We do not just build it. We run it.
One operating model across prompts, retrieval sources, tools, evaluations, model versions, consumption and the security operations around them. One service description, one escalation path, one team accountable.
Sources are re-indexed, business rules move, model versions change and people invent uses nobody designed for. An AI system left alone does not stay still. It degrades quietly.
What we run, and what we do not.
Every component is named in the service description on day one, because an unclear boundary is how an incident becomes an argument at two in the morning.
Retrieval and content
Index health, source onboarding and removal, permission fidelity checks, citation accuracy sampling.
Agents and tools
Evaluation runs, regression testing on every change, tool failure handling, exception queues, access review.
Model management
Version changes tested before adoption, tier routing reviewed against measured quality, deprecation handled on your calendar.
Consumption and cost
Spend attributed to the business process that caused it, forecast against the commitment, reviewed with your finance lead.
Adoption
Usage reported against the outcome the workload was funded for, not against seats lit up.
Security
Delivered with Arancia: SOC and NOC, identity and threat monitoring, incident coordination.
What the service includes.
Agentic AI as a Service is one of AIM’s five CSP Accelerators. It shares their operating model, applied to AI workloads rather than to a licence estate.
- A transition period that documents what was never documented
- A named AIM lead your team can call
- Operations against agreed service levels, not best effort
- Governance kept enforced between audits rather than rebuilt before them
- Quality reported against a held-out evaluation set
- Consumption and licence position reviewed on a defined cycle
- An improvement backlog reviewed with your leadership on a cadence
Where to start.
Agent Operating Model Assessment
It establishes the condition of what is running, what has drifted and what the improvement backlog looks like. We do not price the service without it.
Findings you receive
- Inventory of agents, assistants and retrieval sources in use
- Permission and entitlement exposure
- Quality baseline against a held-out set
- Consumption analysis and attribution gaps
- Operational risks, ranked
- A service proposal with named scope boundaries
Start with the workload, not the licence.
A two-hour session with the people who own the process, the data and the risk. You leave with a shortlist of candidate workloads, the constraints that rule some of them out, and an honest view of which one is worth a pilot.