Hi, I’m
Steve Quinlan.
I help established UK firms, typically in the £3m to £20m revenue range, move from one-off AI experiments to systems that deliver results, every time. I work directly with CEOs, MDs, and operations leads to build capability inside the business, not on retainer. The goal is always the same: make AI work for you, and keep the expertise in-house.
Business at the centre. Evidence-led. No hype.
Find the work AI can
take off your plate.
The AI Opportunity Roadmap. A 3 to 4 week project, priced per engagement.
Over three to four weeks, run as a focused sprint, I map where AI should already be earning its place in your business. I put a number on each opportunity in hours and cash recovered, then set the order to tackle them in. You finish with a costed roadmap: the AI work to do now, ranked by payback. Not a list of tools to chase.
In a recent project with a UK retail bank, one review went from five hours across three people to twenty minutes for one. That cut review time by 93% and recovered £16,575 a year from a single workflow. The case study breaks down exactly how.
Look outward with the AI
Visibility Scorecard.
A productised 10-day audit. £2,500. Fixed scope. You leave with an AI setup you can trust, working on repeat, and a sequenced action plan to get there.
The AI Visibility Scorecard is a 10-day audit I run to test how AI engines present your firm to buyers. I score the gaps across five buyer-facing dimensions and lay out a clear sequence of fixes. The result: you know exactly where you stand, and what to do next.
Where the Roadmap looks inward, the Scorecard looks outward. On a recent audit, the composite score was 54 out of 100, a clear signal of where to focus next.
Built for established UK firms,
£3m–£20m revenue.
If you’re a CEO, MD, or operations lead at an established UK firm with £3 million to £20 million in annual revenue, this is for you. You’ve invested in AI, but you can’t point to firm-level results. You’re past the curiosity phase and done with generic advice. What you want is capability that compounds inside your business. Not a consultant on tap.
In my conversations with CEOs, MDs, and ops leads, three themes come up again and again:
“We’ve got AI working. Now I want to get more out of it.”
“We’re using it. We cannot tell if it is actually working.”
“Each tool sits on its own. None of them connect to the business.”
Whichever direction we start from, the outcome is the same: systems that pay back, and capability that stays in your firm. I use a train-the-trainer model because capability transfer is the whole point.
How I work.
Three disciplines, applied in order:
-
01
Experimentation.
I’ve spent a decade running test programmes. Evidence always beats instinct. The drive to test, measure, and iterate doesn’t disappear just because the tools have changed.
Hypothesis → Test → Evidence -
02
Prioritisation.
I connect ideas to commercial KPIs and sequence by impact. I fix the biggest gap first, and it’s rarely the loudest one.
Impact first, loudness last -
03
System design.
I design AI as part of how the business actually runs. Not bolted on. Not a tool sitting next to the work. It becomes part of the work itself.
AI as part of the flow
Why me.
I’ve spent a decade running experimentation programmes for organisations like Vitality, LV=, NatWest, RNLI, and Farrow & Ball. That work delivered:
What I have shipped.
Selected systems built end-to-end:
Multi-Agent Content Workflow.
An eleven-skill AI team that runs my own website end-to-end. Research, drafting, editing, publishing.
See how the team worksAI Opportunity Roadmap case study.
A UK retail bank workflow rebuilt: 5 hours and 3 people down to 20 minutes and 1. £16,575 recovered per workflow, 93% time reduction.
Read the case studyAI Website Readiness Framework.
The diagnostic methodology behind the Scorecard. Six surfaces, twenty-four prompts, one composite score.
See the ScorecardChat GPSteve.
Conversational interface to my career and writing. Ask it anything. It answers in my voice, with sources.
Try itWhere to next.
Three places to go next, depending on what you came for: