Operating model and charter
Mandate, funding model, decision rights and the interfaces with business units, IT and risk.
Enterprise AI
AI Center of Excellence
An AI Center of Excellence gives your company one accountable home for AI: shared standards, governed platforms and a pipeline of use cases that reach production. We help you design it, staff it and run it.
What an AI Center of Excellence is
An AI Center of Excellence is a dedicated team that owns the standards, platforms and governance for AI across a company, so individual business units can ship AI use cases without reinventing controls each time. A working CoE owns four things: the use-case portfolio and its prioritization, the shared platform and tooling, the governance and risk controls, and the enablement that raises AI skills across teams.
Most companies have moved past the first pilot. What follows is harder: dozens of candidate use cases, several vendors in flight, security reviews that take longer than builds, and no shared way to compare value or risk. A Center of Excellence replaces that sprawl with one operating model.
What we set up
Use-case portfolio
Intake, scoring on value, feasibility and data readiness, and a sequenced roadmap with owners.
Platform and tooling
Approved model providers, retrieval and evaluation infrastructure, cost controls and an AI gateway teams build on.
Governance and risk
Policies engineers can follow, risk tiering, review workflows and audit evidence built into pipelines.
Talent and enablement
Role definitions, hiring support, training paths and communities of practice.
Delivery pods
Senior engineers who build the first production use cases inside the CoE while it stands up.
Thinking about a Center of Excellence? Start with a working session.
How we stand one up
- 01
Assess
Current initiatives, data readiness, skills and risk posture, with a view of what the CoE must own first.
- 02
Design
Charter, operating model, governance framework and platform architecture agreed with your leadership.
- 03
Stand up
The first delivery pods, the platform baseline and the intake process, running on real use cases from day one.
- 04
Scale and transfer
Measured expansion, enablement across business units and, when you want the capability in-house, a build-operate-transfer path.
FAQ
AI Center of Excellence questions
A dedicated team that owns AI standards, platforms, governance and the use-case portfolio across a company. It exists so every team does not have to solve security, evaluation and vendor questions from scratch, and so leadership can see one picture of value and risk.
Consulting produces the decisions. A Center of Excellence is the standing capability that executes them. We often start with an AI consulting engagement and move into CoE enablement when the roadmap needs a permanent home.
A working core, meaning the charter, the first pods and the platform baseline, typically takes a few months, with real use cases delivered during the stand-up rather than after it. Enablement across business units is phased over a longer period.
Yes. We run build-operate-transfer engagements: we hire, house and operate the capability under your brand and processes, then transfer it to you on an agreed timeline.
Not always. With one or two use cases, a delivery pod with good governance is enough. A CoE earns its cost when multiple business units want AI at the same time and the company needs shared standards and one way to compare investments.
Next step
Ready when you are.
Tell us what you are trying to build and we will come back with a point of view, not a pitch.