AI consultancy that starts with your work, not the tools.
I help organisations grow with AI. AI takes on the routine work it does well. Your people keep the expertise and spend more time on the work that grows the business.
Tested, not copied
more visitors to the RNLI website completed a donation
more people requested a health insurance quote from Vitality
more colour consultation bookings at Farrow & Ball, year on year
the year I started building live AI systems inside a UK retail bank
From finding where AI adds value, to building it, to training your team to run it.
AI consultancy
Before you spend on tools or training, get a clear map of your work: where AI adds capacity, where it adds capability, and where your team’s judgement should stay in charge.
AI implementation
Recurring reports, reviews and follow-ups can run as AI-supported workflows, with a person still making the final call. I build them, check them and show your team how to run them, so their time goes on skilled work.
AI training
Your team has AI tools but mostly uses them for quick drafts. Hands-on sessions built on their own tasks teach them to brief it well, check what it gives back and use it safely.
486 hours a year back for skilled work.
At a UK retail bank, a recurring website review needed a developer, a test analyst and a business analyst, and took five hours. I rebuilt it as an AI-supported workflow that one engineer runs in 20 minutes, with the same review depth and a person still making the final call.
Read the workflow case studyCapacity
486 hours of skilled time a year returned to other work, at two reviews a week.
Capability
One engineer now runs a review that needed three specialists.
Consistent quality
Every review covers the same four areas, with evidence behind every finding, whoever runs it.
Every engagement runs on the same five steps.
Every piece of AI work runs through The Edge Loop, so you always know what a change delivered before it goes further. Each round keeps what works and builds on it, so the value grows with every loop.
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01
Pick
a real task.
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02
Test
an AI approach against how it runs now.
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03
Measure
the result.
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04
Keep
only what works.
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05
Stack
it so the gains compound.
Vendor-neutral
I’m Steve Quinlan.
I have spent more than a decade running product and conversion experiments. I started building production AI workflows in 2022, and since 2023 I have built live AI systems inside a UK retail bank. You work with me directly, from the first conversation to the handover. I am vendor-neutral: if AI is the wrong answer for a task, I will say so.
More about meBring one task. Leave with a starting point.
Tell me about a recurring task, an AI decision or a team that needs training. You do not need a brief, a budget or a shortlist of tools. In a free 30-minute conversation we work out where AI would make a measurable difference, and where it would not.
Talk to SteveI reply personally. No sales sequence.