AI COE Governance

An AI Center of Excellence agencies can actually run.

Most agencies do not have an AI problem. They have a production problem. Pilots multiply, inventory is a spreadsheet, and nothing is built to survive an authorizing official. Agiletek’s AI Center of Excellence is the standing capability that takes a use case from intake to a governed production service: MVP, ATO path, then scale.

Talk to the AI CoE team Request the CoE deck

What the Center of Excellence does.

Offering

AI readiness assessment

CoE standup

Use-case factory

Secure agent platform

Managed AI operations

AI governance that
an auditor can follow.

Federal AI policy and the NIST AI Risk Management Framework expect inventories, impact assessments, and documented human oversight. Agiletek builds those controls into the operating model, not as a binder after the model ships. ServiceNow AI Control Tower is the control plane when the customer is on Now. The same discipline applies when the estate spans Google Cloud, Workday, SAP, and custom agents.

Inventory

Models, agents, tools, prompts, and datasets, held as a register rather than a spreadsheet.

Impact assessment

Use-case risk tiering, so oversight is proportionate to consequence.

Agent identity

Identity and authorization for agents, not only for people.

Lineage and logging

Data lineage, residency, and retrieval logging through GoodMem and platform logs.

Evaluation and drift

Evaluation, drift monitoring, red-teaming, and a decommission path.

Human approval

Approval gates on high-impact actions, with an evidence pack an authorizing official can review.

Inventory, control tower, memory layer,
human gate, then scale.

The CoE is where the sequence is enforced. Each stage produces the evidence the next
one needs, so an authorizing official is reviewing a record rather than taking
your word for it.