Multiple business units run AI experiments with no shared standards
Disconnected AI initiatives produce duplicated effort, inconsistent governance, and no accumulated platform or data asset reuse across the organisation.
Organisational Capability Design
AI Center of Excellence
Design and activate an enterprise AI Centre of Excellence — operating model, governance charter, role definitions, cross-functional AI literacy programs, and a structured use-case intake process.
CoE Operating Model DesignMCT-Led DeliveryCross-Functional AI LiteracyGovernance CharterUse-Case Intake Process
Why This Matters Now
The challenges that bring enterprise teams to this conversation
No structured process for evaluating AI use-case viability before investment
Organisations approve AI projects based on enthusiasm rather than structured risk, data, and ROI assessment — resulting in stalled or failed implementations.
AI literacy concentrated in a small technical team rather than distributed
When only one team understands AI, every new initiative becomes a bottleneck and business stakeholders cannot make informed adoption or approval decisions.
Strategic context: A CoE is the difference between 12 disconnected pilots and a coordinated enterprise AI programme with measurable outcomes, shared governance, and accumulated platform knowledge.
Capability Coverage
What the program covers
CoE Operating Model Design
Design the organisational structure, governance charter, decision rights, and operating cadence for a sustainable enterprise AI Centre of Excellence.
Role Definition & Hiring Frameworks
Define AI roles (AI lead, data engineer, product owner, governance lead) with capability profiles and structured frameworks for sourcing and internal mobility.
AI Governance Framework Integration
Integrate responsible AI policy, use-case intake governance, risk classification, and regulatory compliance requirements into CoE operations and decision rights.
Cross-Functional AI Literacy Programs
Deliver role-stratified AI literacy programs for executives, business analysts, engineers, and domain experts to distribute AI capability across the organisation.
Use-Case Intake & Prioritisation Process
Design a structured intake process for AI use-case evaluation covering feasibility, data readiness, risk profile, ROI estimate, and delivery priority ranking.
AI Programme Reporting & Measurement
Build reporting frameworks and success metrics for AI programme governance, adoption tracking, ROI demonstration, and executive visibility across all CoE activity.
Delivery Approach
How we deliver this
01
Assess
Governance & CoE Readiness Review
Evaluate current AI governance maturity, identify existing AI experiments and stakeholders, and assess organisational readiness for a structured CoE model.
02
Design
CoE Structure, Roles & Governance Charter
Design the CoE operating model including team structure, decision rights, governance charter, use-case intake process, and executive reporting cadence.
03
Enable
Governance + Role-Based Program Delivery
Deliver AI governance workshops, role-specific certification programs (AI-102, AI-103), and cross-functional AI literacy sessions for business and technical teams.
04
Adopt
Recurring AI Programme Cadence
Close with an active governance charter, assigned accountability owners, a recurring CoE review cadence, and a capability measurement framework for ongoing AI programme management.
Capability Programs
Programs for this area
Proof & Perspectives
Implementation evidence and strategic context
Representative Healthcare Product Team
Product and engineering teams needed to evaluate AI and generative AI use cases while building implementation capability in a governed enterprise setting.
Azure OpenAIResponsible AIEnterprise Prototyping
Read engagement detailsStrategy6 min read
AI Readiness: The Work That Happens Before You Touch a Model
Organisations that struggle to get value from enterprise AI investments almost never fail because of model capability. They fail because the data is not ready, the teams are not aligned, and the governance layer does not exist. This post outlines the readiness work that precedes meaningful AI adoption.
AI StrategyEnterprise AIData ReadinessGovernance
Read insightReady to Begin
Start your AI Center of Excellence program
Work with our team to design an enablement program matched to your team's readiness, platform priorities, and delivery timeline.
CoE Operating Model Design
MCT-Led Delivery
Cross-Functional AI Literacy
Governance Charter
