AI Center of Excellence

Problem

AI Pilots That Never Scale

You've run successful AI experiments. Individual teams use AI daily. But there's no coordination, no shared standards, and no way to scale what works across the organisation.

• Successful pilots stay siloed in individual teams
• No central governance for AI tools, models, and data usage
• Duplicated effort and inconsistent AI practices across departments

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Approach

Build a Lasting AI Capability

An AI Center of Excellence gives your organisation a permanent home for AI expertise. We help you set one up that actually works: clear ownership, practical governance, shared tools and standards, and a pipeline for scaling what works. Not a PowerPoint org chart. A functioning team that drives AI adoption across every department.

Operating Model

We design the structure, roles, and processes for your AI CoE. Who owns what, how teams request AI support, how you evaluate and prioritise use cases. A model that fits your organisation, not a generic framework.

Governance & Standards

Shared policies for AI usage, model management, data access, and compliance. Your teams move fast within clear guardrails. The EU AI Act, GDPR, and your internal policies are baked in from day one.

Capability Building

We train your CoE team, build internal playbooks, and set up the tooling they need to operate independently. The goal is self-sufficiency. We leave, and the capability stays.

Business Impact

What You Actually Get

A permanent internal AI capability that scales what works across the organisation.

Organisation-wide

Coordinated AI Adoption

One team driving AI standards, governance, and scaling. No more siloed experiments.

Permanent

Self-Sufficient Capability

Your own AI CoE team with playbooks, tooling, and expertise. We leave, the capability stays.

Compliant

Governed Innovation

Clear guardrails for AI usage, model management, and data access. Teams innovate within safe boundaries.

Why Cloud2

CoEs That Actually Function

We build operating models, not org charts. Real capability, not PowerPoint.

Operating Model Design

Roles, processes, and decision frameworks designed to work in your organisation. Not a generic template.

Built-In Governance

EU AI Act, GDPR, and internal policies baked into the CoE from day one.

Capability Transfer

We train your team, build playbooks, and set up tooling. Self-sufficiency is the goal.

Practical Focus

We start with use cases that deliver value, not theoretical frameworks. ROI from month one.

Success Stories

Proven in Production

Real customers, real results. No hypotheticals.

Technology

Grano

AI-powered image tagging and alt-text generation for Finland's leading digital asset management platform EMMi

250+

Brands using AI-enhanced EMMi platform

Media & Publishing

Aller Media

AI-powered image metadata solution for Nordic media company

2 months

From design to production

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FAQ

Common Questions

How long does it take to set up an AI CoE?

Initial operating model and governance framework in 4-6 weeks. Full capability with trained team and tooling typically 3-6 months.

Do we need a large team?

No. A lean CoE can start with 2-3 people. The model scales as AI adoption grows across the organisation.

What if we already have some AI initiatives?

Great. We assess what’s working, what isn’t, and build the CoE to coordinate and scale existing efforts.

Is EU AI Act compliance included?

Yes. Compliance frameworks, risk classification, and governance processes are core to every CoE we build.

How do you measure success?

AI adoption rates, use case pipeline, time to deployment, cost per use case, and governance compliance. We set up metrics from the start.

Field Notes

AI Centre of Excellence Insights

Guidance on building and running an AI Center of Excellence.

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Ready to Get Started?

Let's discuss how Cloud2's AI Center of Excellence service can help you achieve your goals.

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