Diagnose
Use interviews, UX research and end-to-end process mapping to understand how people, systems and data connect. Find bottlenecks and dependencies before choosing a solution.
Embedded consulting
Enterprise AI transformation consulting
I help organisations turn AI access and promising ideas into useful ways of working. That includes Microsoft tooling, Copilot adoption, use-case development with Copilot Studio and developing AI champions. I start by interviewing people and mapping how processes, systems and data connect, then shape the roadmap with your team. Established platforms, custom software and automation are options to assess against the problem, with business, technical, security and governance relationships connected throughout delivery.
Talk to Kevin about thisDesigned for
Enterprise leaders, transformation directors, product executives and programme sponsors who need senior capacity to shape or accelerate an AI initiative.
What changes
Clearer decisions.
Work that moves forward.
Four connected areas of support. Open one to see what that can look like in practice.
Find the opportunityUnderstand the whole system. Decide what is worth changing.Explore the detail
- An end-to-end view of processes, systems, handovers and bottlenecks
- A prioritised portfolio of AI opportunities tied to business outcomes
- Clear decisions on what to build, buy, pause or stop
Build and integrateTurn priorities into a roadmap, the right tools and practical delivery.Explore the detail
- A practical roadmap, prioritised backlog and clear delivery tasks
- Support for technology vendor assessment, procurement and onboarding
- Integration and feature customisation planned around business needs
Help people adoptMake AI useful in everyday work, with capable people and clear ownership.Explore the detail
- Copilot and Copilot Studio use cases with clear owners, evaluation criteria and feedback
- AI champions, practical enablement and handover to the teams using the tools
- Aligned executive, product, engineering, data and risk stakeholders
Govern and improveWork through the checks. Learn from real feedback and outcomes.Explore the detail
- Risks, evidence and approval gates tracked within your existing governance framework
- A feedback loop connecting customer insight, agreed success metrics and the next iteration
Explore the approach
Make the workflow
visible.
Before choosing a tool, understand how the work connects. Pick a challenge, explore a possible improvement and see where people stay in control.
Select a step to explore it
Where does the work slow down? Where does useful feedback get lost?
Step 01 · Current friction
Receive a request
Requests arrive across inboxes and spreadsheets. Someone has to piece together what is needed.
Keep people in control
Collect only the information the team needs, with agreed access and retention rules.
What to measure
Missing information and time spent clarifying each request.
Illustrative examples, not client case studies or measured results. No live AI analysis, uploads or business data.
What might your starting point be?How the work moves
A practical delivery sequence
Prioritise
Compare AI, automation and other approaches against customer needs, feasibility, data readiness and risk.
Mobilise
Define ownership, workstreams, governance gates and an achievable delivery sequence. Develop AI champions and plan practical enablement around the people who will use the tools.
Deliver and learn
Stay hands-on with the team through daily Scrums, Jira tickets, bug triage, testing and deployment. Support adoption and handover, report against the original problem and agreed success metrics, and use live feedback and appropriately governed customer data to prioritise the next iteration.
Direct answers
Questions before we start
What does an enterprise AI transformation consultant do?
An enterprise AI transformation consultant connects business strategy, product delivery, technology and governance. The role is to help leaders choose worthwhile AI opportunities, align the people needed to deliver them and move the work into measurable production use.
When should an organisation bring in independent support?
Independent support is useful when ownership is unclear, multiple teams need alignment, pilots are not progressing, governance is arriving too late or senior delivery capacity is temporarily constrained.
How do you find the right opportunities for AI and automation?
I start with process discovery and systems analysis: interviewing people and mapping the whole flow of work, including the systems, data, decisions, handovers and exceptions. We identify the friction, agree what better would look like and assess which opportunities merit a transformation project. AI is considered where it fits, not assumed to be the answer.
Can you take ownership from discovery through to release?
Yes. I can own the product work end to end alongside your team, connecting user research, the roadmap and backlog with day-to-day delivery, testing and release. I work within your existing AI governance protocols, review gates and approval checks, making risks and required evidence visible to the responsible decision-makers.
What experience do you bring to enterprise AI adoption?
I have helped thousands of people adopt AI platforms within organisations, iterating with teams, building capability and handing over ownership. My work includes Microsoft tooling, Copilot adoption, use-case management, Copilot Studio and developing AI champions. I connect the rollout with practical learning, user feedback and reporting on agreed outcomes.
Are you limited to Microsoft tools or standard platform features?
No. I work with Microsoft and other AI platforms where they fit, and also develop custom software, automation and integrations. My independent ventures involve Claude Code, the CLI and terminal, application code, APIs, testing and infrastructure. In enterprise engagements, I bring that technical understanding to the team while respecting the agreed role, engineering responsibilities and governance.
How is an embedded engagement arranged?
Enterprise work can be structured on a day-rate basis, directly or through an established consulting intermediary. We agree the role, responsibilities, start date and commercial terms before work begins.
A useful place to start
Not sure where
to start?
Explore what is in place, what needs attention and where to focus next. Bring your readiness profile to a conversation with me, or use it to start one with your team.
Check your AI readiness13 questions · No registration · Answers stay in your browser
Look beyond the technology
- Business clarity
- Data readiness
- Team & resources
- Governance
- Execution readiness
A self-assessment with practical next steps, not an audit or a compliance verdict.
Start with a conversation
Would this help with your work?
Tell me what you are trying to do and where you could use support. A rough description is enough.
Talk to Kevin