Enterprise AI & product consulting · Ireland

Clear priorities.
Practical delivery.

I’m Kevin Murphy. I help organisations identify the right problems to solve, choose the next steps and get delivery moving.

Enterprise AI adoption, product delivery and custom software. From Microsoft Copilot programmes to hands-on AI-assisted development, I connect the business problem with the right people, tools and approach.

Talk to Kevin Check your AI readiness

Professional experience across

Financial servicesEnergy & utilitiesPharmaceutical

People I’ve worked with

In their own words.

AI enablement client

“He’s been such a great help getting my website up and running. … I’ve learned so much throughout the whole process”

Shauna FaganFounder, MatchMyHairLinkedIn recommendation · 13/10/2026Visit MatchMyHair Read the full recommendation on LinkedIn

Former direct manager

“Customer focused and proficient in customer led design, embedding research, design thinking and co-creation into design and development of the product.”

Ciara MyersCurrent role: Head of Digital Channels, Commercial Bank of DubaiLinkedIn recommendation · 31/03/2020Read the full recommendation on LinkedIn

Excerpts from LinkedIn recommendations. Professional experience and client feedback are shown with their original relationship.

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 readiness

13 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.

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.

Illustrative workflow

Follow a customer request from the inbox to a useful response.

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?

Enterprise adoption. Hands-on technical capability.

From a good idea
to everyday use.

I have helped thousands of people adopt AI platforms within organisations, working with teams to improve use cases, build confidence, hand over capability and make the value visible.

An illustration of the approach, not client data or a promised sequence. Governance, people and feedback stay connected throughout.

01 Find
Start where the work gets stuck.
Talk to the people doing the work. Map the processes, systems and handovers. Prioritise use cases against a real business problem, with an owner and a way to judge progress.
A useful problem. A clear starting point.
02 Prove
Make the case. Test the approach.
Bring business, security, data and AI governance into the same conversation. Test the workflow, its risks and the evidence needed for approval. Microsoft Copilot, Copilot Studio or custom software: the problem decides the tools.
Evidence for a decision, not another demo.
03 Enable
Give people the confidence to use it.
Develop AI champions who understand their teams’ work. Use practical learning, useful examples and feedback to turn access to a platform into everyday capability.
People who can carry the change forward.
04 Embed
Make it part of how work happens.
Connect use cases to real workflows. Coordinate rollout, integration and handover with the delivery team. Make responsibilities and support clear so capability stays inside the organisation.
A working approach the team can own.
05 Improve
Keep listening after launch.
Review adoption, customer feedback and agreed success measures. Understand what is working, improve what is not, and use the evidence to decide where to go next.
A feedback loop, not a finish line.

And when the standard toolkit isn’t enough?

I also build with Claude Code, the CLI and terminal: custom applications, automation and connections between systems. Code review, testing and infrastructure are part of the work.

In enterprise programmes, I work within your team’s roles and governance. My independent product work demonstrates my hands-on development capability.

Explore enterprise adoption

Experience that carries across

Product and delivery work in complex organisations.

See the contribution

Financial services

Digital banking and customer services

Product ownership, roadmap planning and delivery across digital banking, retail and postal services.

Energy & utilities

From AI opportunities to delivery

AI discovery, use-case prioritisation and delivery in an environment where safety and operational needs matter.

Pharmaceutical

AI adoption in a regulated setting

Enterprise AI consulting that brings product, business and technology stakeholders together around responsible implementation.

Selected professional and consulting experience. Detailed employment history is available in my CV; client and programme information stays confidential.

In-house startups & product development

I build products of my own, too.

Mythical Void and Sensei AI are core examples of my hands-on work, from shaping the idea and user experience to building, testing and improving the product.

In-house product · Interactive entertainment

Mythical Void

A browser-based adventure combining procedural creature genetics, exploration and discovery. My work brings together product design, AI-assisted development, game systems and iterative testing.

Watch the story film & explore the work

In-house startup · Applied AI & sports technology

Sensei AI

Computer vision and AI-assisted martial-arts video analysis and coaching. My work connects a specialist domain with pose estimation, movement analysis and a practical user experience.

Watch the computer-vision demo

These are my own product ventures, not client commissions. They sit alongside my enterprise consulting and show how I approach real product-development challenges.

Smaller, focused engagements

You do not need a large programme to get useful help.

Practical support for business owners, smaller teams and people exploring a new product. We agree a specific task and the right level of help.

Learn and build together

AI skills and guided building

Want to improve your website, create a workflow or explore an idea yourself? I will work through it with you and explain how to keep going.

Build your AI skills

Help your team use AI responsibly

AI policy and team training

Your people are already trying AI. Give them practical training, clearer expectations and guidance they can use in their day-to-day work.

Explore policy and training

Test an idea before a bigger build

Innovation and prototypes

Have a product idea or a difficult workflow? Start with focused discovery, then agree what is worth prototyping or building.

Explore a focused project

Guided AI work builds your skills. A prototype engagement delivers something for you. We make that distinction clear before starting.

The person you will work with

Hi, I’m Kevin.

I connect client relationships, business priorities and technical delivery, taking product work from understanding the problem through to delivery and improvement.

Understand the whole system. My UX and business-analysis background shapes how I work: interviewing people and mapping how processes, systems, data and handovers connect. I find the friction, assess where AI or automation could help, and turn that into a practical transformation roadmap.

Stay close to delivery. Within enterprise teams, I own product work from roadmaps to daily Scrums, Jira tickets and bug triage. I work with security teams, data governance and AI governance committees, addressing risks through existing review gates and approval checks.

Build as well as advise. In my own ventures, I develop software with Claude Code and the command-line interface (CLI), working directly in the terminal. I build custom applications, connect systems and work through testing, deployment and infrastructure. That practical understanding of AI and software informs the decisions I make, beyond any single platform or tool.

Keep improving. I stay involved through deployment, using live feedback and appropriately governed customer data to report against the original problem and agreed success metrics. Customer feedback shapes the next iteration. That is kaizen: continuous improvement in practice.

Still thinking it through?

Start with a practical question, not a sales pitch.

AI readiness assessmentExplore where your organisation may need preparation.How to rescue a stalled enterprise AI pilotA guide to the decisions that help work move forward.Browse all resourcesGuides and tools to help you decide what comes next.

Start with a conversation

What are you trying to move forward?

Tell me a little about the work and where you could use help. We can work out whether there is a good fit.

Talk to Kevin