The Person Helping You Bring AI Into the Business
Polynym is the independent AI architecture practice of Tyrone May. I help UK SMEs work out where AI fits, what should be built, how it should be governed, and how to put useful systems into the business without wasting money on hype, tools, or failed pilots.
My Story
Fifteen years building software. Twelve years before that teaching IT and building websites. Long enough in this industry to tell the difference between hype and a genuine shift.
AI is a genuine shift, but most SMEs do not need theatre. They need practical help.
They need someone who can look at the business, understand the workflows, choose the right approach, build what is needed, and explain it without burying everyone in jargon.
AI For Business
How to Automate Your Business and Stay Ahead With AI
I wrote a practical book for SMEs on putting AI to work without getting caught in hype, tools, or vague strategy.
Buy on Amazon
Meet the Architect
If you book the discovery call, I take it. If you sign an engagement, I architect and ship it. No account managers. No juniors learning on your project. No bait-and-switch.
That matters for SMEs because most do not have the time, budget, or internal AI team to manage layers of consultants. You get direct senior input from the person doing the thinking and the build.
What I Help With
I work with SMEs that want to use AI but need help turning the idea into something practical.
That usually means:
- Finding where AI can save time.
- Reviewing manual workflows.
- Automating repetitive admin.
- Improving document handling.
- Making internal knowledge easier to access.
- Setting rules for safe AI use.
- Choosing between secure cloud, private VPS, or on-premise deployment.
- Building systems staff can actually use.
What I Am Not Here To Do
I am not here to sell AI for the sake of it.
I am probably not the right fit if you want:
- A cheap chatbot added to your website.
- A vague innovation workshop.
- A prompt pack.
- A shiny demo with no route to production.
- Someone to tell you every AI idea is worth building.
If AI is the wrong answer, I will say so.
How I Keep AI Sensible, Safe, and Useful
AI systems need rules. That means knowing what data can be used, where human approval is needed, how outputs are checked, who is responsible, and what happens when something goes wrong. Every project is designed around practical governance, not vague AI ethics statements.
Human Oversight
AI should support your team, not quietly make critical decisions without review.
Data Control
Measurable Outcomes
Clear Documentation
My Principles
The foundational rules that govern the architecture, the approach, and the deployments. No compromise on these.
Human-in-the-Loop
Replacing humans isn't the goal. Augmenting them is. Critical decisions stay with your team, AI handles the execution.
Security by Design
Security isn't an add-on. Systems are architected from the ground up to protect your data, with strict access controls at every layer.
Measurable Outcomes
No AI for AI's sake. Every project ties to clear, quantifiable business metrics. If it doesn't move the needle, it doesn't get built.
Transparent Engineering
No black boxes. Architectures documented, model choices explained, and full visibility into how the system makes decisions.
Find Out Where AI Could Help Your Business
Book a short AI Review. We will look at where your team is losing time, which processes are too manual, and whether an AI system could make a practical difference. If there is a sensible opportunity, I will explain the next step. If there is not, I will tell you that too.