The 5 P’s of AI Readiness
Most AI projects stall. Not because the tools are weak, but because the business around them is not ready. Staff are not trained. Workflows are messy. Data sits in silos.
The 5 P’s of AI Readiness fixes that. It is the framework I use in every executive workshop to check the five parts of your business that decide whether AI works: People, Process, Platforms, Proprietary Data, and Products and Services. Get all five working together and AI sticks. Leave one weak and AI fails.
This page shows you what each P means, how to score your business from Level 0 to Level 4, and how to turn the result into a 90-day plan.
I am Mark Kelly, Entrepreneur and Founder of AI Ireland. I have spent years helping leaders move from AI hype to real results.
- 10,000+ leaders trained in AI literacy and leadership
- AI sessions delivered for Microsoft, Oracle, Zendesk, and PwC
- 800+ five-star reviews
- Host of several AI and Cyber Podcast’s, 800+ episodes
On this page
Why most AI projects stall
Companies spend big on AI tools, then wonder why nothing changes. The tool is not the problem. The business around the tool is. Staff are not trained. Workflows are messy. Data is locked in silos. Leaders chase the next shiny thing instead of fixing the basics.
The 5 P’s gives you a clear way to spot the weak links before you invest. It also gives your team a shared language, so everyone is solving the same problem.
The 5 P’s explained
The framework has five parts. Each one is a lever you can pull to move from talking about AI to using AI.
1. People
AI does not work without skilled, confident people. This P checks if your team has the literacy, mindset, and time to use AI well.
What we look at:
- Who is using AI today
- Who needs training
- Where fear or confusion is blocking progress
- How leaders are setting the tone
If your people are not ready, no tool will save you.
Go deeper: How to build AI confidence in your team
2. Process
AI only adds value when it is plugged into a real workflow. This P checks how work actually gets done in your business.
What we look at:
- Which tasks take the most time
- Which steps are repeated again and again
- Where errors happen most often
- Which workflows are ready for AI and which are not
Fix the process first. Then add AI.
Go deeper: How to spot the right processes for AI
3. Platforms
Your AI tools need to sit inside your existing tech stack. This P checks if your platforms can support AI safely.
What we look at:
- What tools you already pay for
- Where AI features are already built in but unused
- Security, privacy, and compliance gaps
- How well your systems talk to each other
Most teams already own more AI than they know.
Go deeper: AI Platforms: How to Build an AI-Ready Tech Stack
4. Proprietary Data
Your data is your edge. Generic AI is the same for everyone. AI shaped by your data is yours alone. This P checks how ready your data is to fuel AI.
What we look at:
- What data you hold and where it lives
- How clean and organised it is
- Who owns it and who can access it
- What you can safely use with AI tools
Without good data, AI just guesses.
Go deeper: Why your data is your AI edge
5. Products and Services
This is where the work pays off. AI should change what you sell, how you serve customers, and how you grow. This P checks if AI is showing up in your offer.
What we look at:
- Which products could be smarter
- Which services could be faster or cheaper
- What new offers AI makes possible
- How customers feel the difference
If AI does not reach your customer, it is just an internal project.
Go deeper: How AI changes what you sell
The maturity levels (0 to 4)
In a workshop you score your business on each P using a simple scale. The score is honest, fast, and easy to repeat every quarter so you can see progress.
Most teams start between Level 1 and Level 2. The goal is not Level 4 everywhere. It is steady progress on the P that matters most to you right now.
How a 5 P’s workshop runs
I take your leadership team through each of the 5 P’s in order. You score where you stand today, find the gaps, and leave with a plan you will actually use.
A typical session:
- Walk through the framework with real examples from other businesses.
- Score your business honestly on each P.
- Spot the biggest gaps and the quickest wins.
- Build a 90-day action plan your team will follow.
- Agree who owns what.
You leave with a one-page plan, not a slide deck full of theory.
Who the framework is for
The 5 P’s workshop is built for:
- C-suite teams setting AI strategy
- Boards asking how to govern AI
- Department heads who need their team using AI well
- Companies that have tried AI tools and seen little impact
It works across industries. I have run it for global tech firms, financial services, public sector teams, and family-run businesses.
Common questions
What is the 5 P’s of AI Readiness?
It is a framework that checks the five parts of a business that decide if AI works: People, Process, Platforms, Proprietary Data, and Products and Services.
Why do most AI projects fail?
Because teams buy tools before the business is ready. Staff are untrained, workflows are messy, and data is locked away. The tool is rarely the real problem.
What does AI readiness mean?
It means your people, systems, and data are set up so AI adds real value, not just noise.
How long does a 5 P’s workshop take?
There are half-day, full-day, and two-day formats. The length depends on team size and how deep you want to go.
Do I need technical staff to take part?
No. The framework is built for business leaders. No coding or data science background is needed.
Which industries does it work for?
All of them. It has been used with global tech firms, financial services, public sector teams, and family businesses.
Related guides
Go deeper on each part of the framework:
- How to build AI confidence in your team
- How to spot the right processes for AI
- The AI tools you already own
- Why your data is your AI edge
- How AI changes what you sell
Book a workshop
You do not need more AI tools. You need a clear plan. Run the 5 P’s with your leadership team and leave with an honest score, a short list of where to act first, and the confidence to invest, hire, and lead.
I run half-day, full-day, and two-day formats, each shaped to your business, your data, and your goals.
Mark Kelly is an AI keynote speaker and workshop leader. He is an Entrepeneur, Founder of AI Ireland and has delivered AI sessions for Microsoft, Oracle, Zendesk, PwC, and many more.
The 5P Framework by Mark Kelly
FAQs About the 5 P’s of AI Readiness
What are the 5 P’s of AI Readiness?
The 5 P’s of AI Readiness is a framework for checking how ready your business is to use AI well. It looks at five parts: People, Process, Platforms, Proprietary Data, and Products and Services. When all five are working together, AI sticks. When one is weak, AI fails.
Who created the 5 P’s of AI Readiness?
The 5 P’s of AI Readiness was created by Mark Kelly, an AI keynote speaker and Founder of AI Ireland. Mark uses the framework in executive workshops with companies including Microsoft, Oracle, Meta, and PwC.
Who is a 5 P’s of AI Readiness workshop for?
The workshop is built for C-suite teams, boards, and senior leaders who want to set or sharpen their AI strategy. It also works well for department heads whose teams have tried AI tools but seen little real impact. It runs across industries, from tech and finance to public sector and family-run businesses.
How long does a 5 P’s of AI Readiness workshop take?
Workshops run in three formats: half-day, full-day, or two-day. The half-day gives a fast strategic overview. The full-day adds team scoring and a 90-day action plan. The two-day version goes deeper into use cases and execution.
How is the 5 P’s different from other AI frameworks?
Most AI frameworks focus only on tools or only on data. The 5 P’s looks at the whole business: people, process, platforms, data, and products. It also gives you a clear score from Level 0 to Level 4 on each P, so you know exactly where to act first.
Do I need a technical team to use the 5 P’s?
No. The 5 P’s is built for business leaders, not engineers. You do not need to write code or understand machine learning. The framework gives you the language and structure to lead an AI plan with confidence, then bring in technical people where they are needed.
