You keep hearing you should "do something with AI"
and you don't know which of the dozen possibilities is real and which is noise. You want someone to tell you straight, not sell you all twelve.
services
I help CEOs of established UK businesses find the one or two places AI actually saves time or money, then I build the system and hand it over working. No pilots that die, no decks.
Seventeen years as a CTO, with agentic AI running in production today. If AI won't help your business, the first call is where I tell you that.
and you don't know which of the dozen possibilities is real and which is noise. You want someone to tell you straight, not sell you all twelve.
ChatGPT licences for the team, a pilot last year that's still a pilot. You need to know whether to push through or kill it.
You know what you want; you don't have the engineering to ship it and you'd rather not hand it to an agency that's never deployed an agent in production.
01
The first build targets your biggest repetitive cost — support replies, document handling, data entry between systems. The system does the work; your team checks and approves.
02
A working system on your real data, integrated with your existing tools (CRM, inbox, ERP), with the unglamorous parts handled: agentic workflow design, error handling, monitoring, rollback.
03
An AI readiness audit and ranked roadmap of where AI is worth spending — effort, cost, and expected return for each — so you invest in the one thing that moves your numbers first. Your board gets a document that holds up; your team gets AI trainingso they're not dependent on me.
I spent 17 years as CTO of a range of industrial groups. I know what it takes to run IT at scale because I've lived it: boards, budgets, legacy tech stacks, the lot.
Most AI consultants talk. I take action.
I build the multi-step agents, configure the tool use, and set up secure retrieval over private data with strict guardrails and audit logs. I do the actual engineering; I don't subcontract it out.
If you want a strategy deck, hire an agency. If you want a single operator to design, build, and deploy your first working AI system, let's get to work.
proof
01
Typical timeframe · 1 day
Practical team training on where AI helps, where it does not, and how to use it safely inside real business workflows.
02
Typical timeframe · 2-3 weeks
A focused review of your data, processes, tools, risks, and highest-return use cases, delivered as a ranked roadmap.
03
Typical timeframe · 4-12 weeks
Designing, building, testing, and shipping the first working AI system into the tools your team already uses.
pricing
DAY RATE
£1,200
MINIMUM ENGAGEMENT
3 days
Most engagements are a discovery sprint followed by an implementation phase. Pricing excludes VAT.
questions