AI & Automation Implementation Consultant
I find where AI and automation actually pay off — then I build it.
Fourteen years of software engineering, the last two spent building AI systems that run in production. I look at how your business actually works — the manual steps, the systems that do not talk to each other, the work that quietly eats hours — and identify where AI, automation or better architecture would create real value. Then I design and implement it.
No pitch deck. A working session, then a written opportunity map.
Why bring me in
Most AI projects die somewhere between the idea and the system.
Strategy consultants stop at the recommendation. Developers start after the decision has already been made. I do both halves — which is the only way the recommendation survives contact with your actual systems.
01
I understand the problem
I sit with the people doing the work and map how it really runs — not how the process document says it runs. Bottlenecks, workarounds, and the spreadsheet everyone quietly depends on.
02
I know which technology fits
AI, traditional automation, an API integration, a process change — or nothing at all. Fourteen years of building systems is what lets me tell those apart before you spend money finding out.
03
I can actually build it
Architecture, integrations, agents, retrieval systems, cloud infrastructure, mobile and web. The recommendation and the implementation come from the same person.
How I help
Engagements organised around outcomes, not technologies.
AI Opportunity Assessment
A structured look at how your business runs and where AI or automation would genuinely earn back its cost — ranked by impact, effort and risk.
A prioritised opportunity map, not a strategy deck
Business Process Automation
The repetitive work — rekeying data, chasing approvals, sending the same updates — moved off people’s desks and into reliable, monitored workflows.
Hours back every week, and fewer manual errors
AI Agents & Intelligent Workflows
Systems that plan a task, call your tools and APIs, and work it through to completion — with human checkpoints wherever the decision actually matters.
Work finished end to end, not merely answered
RAG & Knowledge Systems
Your documents, tickets, contracts and wikis turned into something people can simply ask — with every answer grounded in, and cited from, real source material.
Answers in seconds, with their sources attached
AI & System Integration
Connecting AI and the systems you already run — CRM, ERP, databases, internal APIs, messaging platforms — so intelligence lands where the work actually happens.
One flow, instead of four copy-and-paste steps
Architecture & Modernisation
Designing — or repairing — the foundation AI has to run on: data flow, service boundaries, scale, and the integration points that make future work cheap instead of painful.
Systems that can carry the next five years
The part most consultants skip
AI isn't always the answer. I'll tell you when it isn't.
A lot of what gets sold as an AI project is really an integration problem, a process problem or a data problem wearing a costume. I have built systems long enough to tell the difference — and pointing you at the cheaper, more boring solution is usually worth more to both of us than selling you a model.
Approach
From business problem to a working system, in five stages.
Each stage produces something you can act on — so you can stop, change direction, or take the work in-house at any point without having lost anything.
Discover
I learn how the business actually operates: the workflow, the tools, who touches what, where things wait, and what people have quietly built workarounds for.
Diagnose
I separate the interesting ideas from the ones that would create measurable value — weighing volume, time cost, error rate, data quality, and how much would genuinely change.
Design
The architecture: what gets automated, what gets a model, what gets integrated, where a human stays in the loop, and how the whole thing fails safely when something goes wrong.
Implement
Building and shipping it — integrations, agents, retrieval pipelines, workflow automation and the interfaces around them — deployed into your environment, not a demo sandbox.
Measure
Instrumenting it so you can see whether it worked: time saved, volume handled, error rate, answer quality. If a piece is not earning its keep, we cut it rather than defend it.
Selected work
Systems that had to work on Monday morning.
Client, employer and product names are withheld — most of this work sits under confidentiality agreements. The engineering is described in full.
AI & retrieval
A knowledge assistant that answers from your own documents
Documents turned into something people can simply ask — hybrid search rather than vector similarity alone, a reranker that cuts forty candidates to six, and a numbered citation on every answer pointing at the document and page it came from.
AI agents & real-time
A voice agent that takes the call, looks it up, and answers
A caller rings, speaks normally, and gets an answer drawn from live business data — transcription running while they are still talking, a model working out what they actually want, and a query against the systems that already hold the answer.
Automation & generative AI
An unattended production pipeline: a topic goes in, a finished video comes out
A pipeline that takes a topic, researches and scripts it, generates the narration and the visuals, renders the video and files the result — with no human step in the middle. Built partly as a product and partly to learn where multi-stage generative systems fail in practice.
Background
I didn't start with AI. I started with software engineering.
That order matters. It is the difference between knowing how to call a model API and knowing what happens to your systems, your data and your team when that call becomes part of how the business runs.
The offer
A free AI & automation opportunity review.
You do not need another generic AI strategy document. I look at how your business currently works and come back with practical opportunities where AI, automation, integration or better architecture would reduce manual work and create measurable value — including the ones I would tell you not to bother with.
Two minutes to request. The written map is yours whether or not you hire me, and there is no follow-up sequence.
- 01UnderstandYour current workflow, tools, systems and where things get stuck.
- 02IdentifyRepetitive work, manual handoffs, disconnected systems, AI-shaped problems.
- 03PrioritiseSeparating interesting ideas from the things that would move the business.
- 04RecommendPractical opportunities ranked by impact, complexity and likely return.
- 05ImplementIf you want it built, I design and build it. If not, the map is still yours.