The problem

The audit found the opportunities. Now what?

You have a prioritised list of AI opportunities. Maybe from my AI Readiness Audit, maybe from someone else's. The question now is: who builds it? Hiring an AI engineer is a six-month bet. A platform vendor will scope it to fit their tool. A consultancy will hand you a deck and a subcontractor.

I build the thing myself. One person, end to end. Scoping through to handover.

How it works

Fixed scope. No surprises.

Every engagement starts with a written scope: what gets built, what it connects to, how long it takes, and what it costs. You sign off before any build work starts.

I pick the tools that fit: Make.com, n8n, custom Python, direct API work. The choice follows the problem, not the other way around. If a £20/month Zapier does the job, that's what I'll recommend.

What you get

A system that runs without me.

  • Working automation, tested against real data
  • Integration with your existing tools and CRM
  • Written documentation your team can follow
  • Training session for the people who'll use it
  • 30-day support window after handover

Proof

A recent build in numbers.

AI-powered lead qualification for a 60-person professional services consultancy. Response times dropped from 48 hours to under 2. The sales team reclaimed 15 hours a week and qualified meetings rose 25%.

Read the full case →

No AI vendor partnerships. No referral fees. The advice is the product.

Related

Most automation builds start with an AI Readiness Audit to identify the right opportunities first. See how a lead qualification build cut response times from 48 hours to under 2 in the professional services case study.

For ongoing reading on AI automation in practice, visit Insights.

FAQ

Common questions before we start.

Do you build the automation yourself?

Yes. I scope it, build it, test it, and hand it over with documentation. If your team needs to maintain it, I'll train them. If not, I offer a lightweight support retainer.

What tools do you use?

Whatever fits. Make.com, n8n, Zapier, custom Python, LangChain, direct API integrations. The tool follows the problem, not the other way around. I'm vendor-agnostic by default.

How long does an implementation take?

Typically 4–8 weeks for a single workflow automation. Complex multi-system integrations can run to 12. Every engagement starts with a fixed scope and timeline.

What if we already had the audit?

Even better. If you've done the AI Readiness Audit, we skip discovery and go straight to the shortlisted opportunities. Saves time and money.