AI Centre of Excellence as a Service
Stand up an AI operating model — strategy, governance, delivery, testing and a private AI platform — with prioritized pilot use cases that flow into production.
Last updated: 2026-07-17. Provider: SnapSiteBuild AI Centre of Excellence — founder Krish Chimakurthy.
An AI Centre of Excellence (CoE) is a single team and platform that gives a company the strategy, governance, delivery discipline and technical foundation to adopt AI safely and at scale — and SnapSiteBuild stands one up for you as a service.
TL;DR: Instead of scattered, untested AI pilots, you get one operating model: prioritised use cases, governance and risk controls, a delivery method, a testing discipline, and a private AI platform — with pilots that flow into production.
Why companies need an AI CoE
AI fails in organisations for predictable reasons: every team buys its own tool, nothing is governed, data is never prepared, and no one is accountable for testing or production. An AI Centre of Excellence fixes the operating model, not just the tooling — it creates clear ownership, shared standards, and a repeatable path from idea to production.
The SnapSiteBuild CoE framework
| Layer | What we set up |
|---|
| Strategy | AI vision, prioritised use-case portfolio and a measurable roadmap |
| Governance | Responsible-AI policy, risk register, human-review and approval controls |
| Delivery | A repeatable method for shipping AI — scope, sprints, acceptance criteria |
| Quality | An AI testing discipline and production-readiness gates |
| Platform | A private local LLM and enterprise AI gateway for governed access |
| Training | Role-based AI training so teams actually adopt it |
A 30/60/90-day launch
- Days 0–30: executive alignment, AI readiness assessment, prioritised use cases, governance baseline.
- Days 31–60: stand up the platform (gateway, local model, controls), start 1–3 pilot use cases.
- Days 61–90: test the pilots, harden the best, and define the path to production and scale.
Governance and risk
The CoE bakes in responsible-AI controls: a prompt firewall, PII handling, human-in-the-loop approval for sensitive actions, audit logs, and clear escalation. AI risk and testing are integrated from day one, not bolted on later.
Why SnapSiteBuild
Founded by Krish Chimakurthy with nearly two decades in IT delivery, software testing and project management plus modern AI engineering, SnapSiteBuild brings the delivery-and-QA discipline a CoE lives or dies on. We also run our own gateway and local-LLM infrastructure, so the platform we set up for you is one we operate ourselves.
Frequently asked questions
- What is an AI Centre of Excellence?
- A single team and platform that delivers AI strategy, governance, delivery, testing and infrastructure so a company can adopt AI safely and at scale instead of running disconnected experiments.
- How long does it take to stand one up?
- A typical launch runs on a 30/60/90-day plan — alignment and governance first, platform and pilots next, then production hardening.
- Do we need our own AI team first?
- No. We can run the CoE for you, then transfer the model, playbooks and platform to your team with training.
- How does a CoE control AI risk?
- Through governance policy, a prompt firewall and PII controls, human approval gates, audit logs, and an integrated testing discipline with production-readiness gates.
Want a roadmap for your AI Centre of Excellence? Talk to us and we will map your first 90 days.
Contact SnapSiteBuild: Customersupport@snapsitebuild.com