Capabilities / Consulting / Operating Model & AI Center of Excellence
Operating Model & AI Center of Excellence
The structures, roles, and routines that let an enterprise ship AI repeatedly rather than once.
01 — The problem
The first production system is a project. The tenth needs an operating model — shared platforms, clear ownership, and a way to decide what comes next.
Central bottleneckA single AI team becomes the queue everyone waits in.
Federated chaosEvery business unit builds its own stack and repeats the same mistakes.
Unclear run ownershipNobody is sure who maintains a model once the project team leaves.
02 — What we deliver
What we deliver.
01Operating model designWhat is central, what is federated, and how the two work together.
02Center of Excellence setupCharter, roles, funding, and the first ninety days.
03Intake & prioritizationA transparent way to choose what gets built next.
04Reusable assetsShared components, patterns, and standards that shorten each build.
05Skills & rolesThe capabilities you need, and a plan to hire, train, or partner for them.
06Run modelOwnership, service levels, and support for systems in production.
03 — Engagement model
01AssessAI readiness assessment and a prioritized value case
02ArchitectReference architecture, data plan, and governance design
03BuildProduction-grade agents, applications, and platforms
04StaffVetted AI and engineering talent or managed delivery pods
05ScaleOperating model, AI Center of Excellence, and run support
05 — Related insights
Agentic AI · 14 Sep 2026Why AI agents stall after the pilot — and what production actually requiresData & Platforms · 18 Jun 2026Data readiness for agentic AI: six questions to answer firstGovernance · 21 Aug 2026Designing an AI governance operating model that does not slow delivery06 — FAQ
We are model- and cloud-agnostic. Most programs run on Azure, AWS, or Google Cloud with OpenAI, Anthropic Claude, or Microsoft Copilot models, selected per use case on cost, latency, and risk.
Operating Model & AI Center of Excellence
Build the capability, not just the system.
Tell us how AI decisions get made in your organization today.