Enabling organisations to adopt AI at scale

with our Holistic and Human-Centred

AI Centre of Excellence model

​Transfit’s AI Centre of Excellence Implementation Model - Overview

What is an AI Centre of Excellence?​

An AI Centre of Excellence (CoE) is an organisational structure comprising a dedicated federated team that functions as a central repository of AI

  • expertise,

  • best practices, and

  • resources.

It advises, guides, and oversees all AI projects within an organisation, ensuring they

  • align with business strategy,

  • adhere to robust governance,

  • address talent and culture priorities,

  • are technically sound, and

  • deliver iterative business value.

What problems does it solve?​

  • Many organisations experiment with AI in silos without clear alignment to strategic business objectives.

  • There’s often a skills gap across both technical (e.g. data science, MLOps) and non-technical (e.g. change management, prompt engineering) domains.

  • AI initiatives are frequently hindered by fragmented, low-quality, or inaccessible data.

  • Without clear guardrails, even simple AI solutions or tools can introduce ethical, legal, security, and reputational risks.

  • Many AI proof-of-concepts never reach scalable implementation due to a lack of user trust or training.

  • Organisations are struggling to support and govern the breadth of AI tooling now enabling Pro, Vibe, and Citizen Developers.

Establishing an AI Centre of Excellence enables organisations to move beyond fragmented pilot projects by adopting a coordinated, enterprise-wide AI strategy. This is the difference between curiosity-driven exploration and outcome-driven execution.

Why Transfit?​

Based on our real-world AI CoE experience, Transfit’s CoE model stands out for its holistic, human-centred approach that spans People, Processes, Technology, and Data.

Our modular CoE offering provides clients a clear AI roadmap

  • from pre-CoE readiness workshops,

  • leading to initial AI strategy and governance setup,

  • through “quick win” delivery and user enablement,

  • to scaling and continuous improvement.

It is delivered through three structured phases and incorporates easily implemented

  • best practice guides,

  • templates,

  • workflows,

  • checklists, and

  • industry specific accelerators.

By aligning AI initiatives with the organisation’s structure and strategic objectives, our AI Centre of Excellence model

  • turns siloed “centres of experimentation” into

  • a coordinated, enterprise-wide AI movement,

  • that is closely aligned with Microsoft’s AI and Copilot ecosystem,

  • bridges the gap between executive decision-making and AI implementation, and

  • contributes directly to the organisation’s overall success.​

​Transfit’s AI Centre of Excellence (AI CoE) Implementation Model - Summary

Approved provider / partner to the following organisations

Microsoft AI / Copilot: Maximise Your AI Investment with Transfit

Transfit also offers a Microsoft specific version of our AI CoE, where we leverage Microsoft's AI and Copilot stack to power your AI Centre of Excellence (CoE).

Our Microsoft CoE model is designed to help enterprises maximise their investment in Microsoft AI and Copilot technologies, at scale, through a holistic, human-centric approach.  This includes aligning with Microsoft’s own Cloud Adoption Framework for AI, which explicitly recommends forming an AI CoE to centralise expertise and ensure ethical, compliant AI use.

This synergy positions Transfit as an effective bridge between Microsoft’s cutting-edge technology and your specific business needs, accelerating your cloud AI adoption and ensuring seamless integration and success.

Check out our Microsoft Copilot Quick Reference Guide

Our Microsoft Copilot expertise is evidenced in this free Quick Reference Guide, designed to cut through the noise by breaking down every Copilot version, outlining the benefits, features, data sources, channels and licenses to help you choose the right Copilot solution for your needs.

Download the guide today to quickly discover the different versions of Copilot, how they're used, and the benefits they deliver to you and your business.

Don’t forget to subscribe to the Transfit mailing list to be the first to receive new guides as well as AI industry news and updates.

​Transfit’s Digital Excellence Consulting Framework

Our Digital Excellence Framework is our product/project lifecycle methodology. This cross-functional iterative model is ideal for supporting transformation initiatives across people, processes, systems, and data, and includes training and mentoring to ensure clients can implement the framework effectively and seamlessly.

Success Shaping involves the Discovery phase, focused on ideation, research, and defining the problem and success criteria, and the Business Case phase, which includes technical, delivery, and financial planning.

Delivery Assurance encompasses the Validation phase, using methods like Proof of Concepts and Beta tests, and the Execute phase, which covers building, releasing, and managing the solution.

Framework Principles​

  • Maximum Four Month Value Cycle

  • Iterations

  • The Only Constant is Change

  • Diverge / Converge

  • Trade-offs between Time, Cost,

    Scope, and Quality.

  • The First Iteration

  • Fail Fast

  • Continuous Learning

  • ROI / Outcomes based Success

    Metrics

  • Testing Assumptions

  • Fixed Price v Time & Materials

  • Accountable Delivery Management

Phase Principles​

  • Risks Managed​

  • Supplementary Methodologies​

  • Deliverables​

  • High Performing Cross-Functional

  • Teams​​

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