I design and build AI workflows around how your company actually operates — grounded in your own documents, measured for accuracy, with a human in the loop from day one. Built end to end by an engineer, not a slide deck.
MIT research found that the vast majority of enterprise AI pilots deliver zero return.* Not because AI doesn't work — because of how it gets bought and bolted on.
The fix isn't more AI. It's AI built around how you actually work, measured for accuracy, and owned by you.
* The GenAI Divide: State of AI in Business 2025, MIT.
The repetitive text work — support replies, paperwork, hunting for answers — gets drafted by AI in seconds and checked by your team, instead of written from scratch.
Enquiries answered in minutes instead of days — without hiring more people or working longer evenings.
Everything your business knows — policies, prices, procedures, past jobs — answered instantly, instead of living in one person's head or a buried folder.
The AI only answers from your own documents, shows where every answer came from, and hands anything uncertain to a human. You stay in control.
AI drafts replies from your own help docs — cited, checked, escalated to a human when unsure.
An online shop answering “where's my order?” emails in seconds, not hours.
Manuals, policies, contracts and regulations — answered instantly, with the source shown.
A letting agency getting instant answers on tenancy rules, with the clause cited.
Extract, classify and summarise the paperwork that eats your team's week.
An accountancy firm turning a client's shoebox of PDFs into a tidy summary.
Everything your business knows, at your team's fingertips instead of buried in folders.
New staff asking “how do we handle refunds?” and getting the right answer.
Quality drafts grounded in your business data — not generic AI filler.
A consultancy turning site-visit notes into a formatted client report by morning.
Hand repetitive multi-step tasks to AI agents, with guardrails that keep them honest.
Overdue invoices chased, bookings confirmed and records updated overnight.
Not sure which fits? That's what the audit is for.
I review your workflows and deliver a report of the three highest-ROI AI automations for your business — what to build, what it costs to run, and what it saves. A fixed price, a fixed timeline, and a plan you own either way. It starts with the free intro call — the audit is the paid deep-dive that follows if there's something worth investigating.
Support co-pilots, internal assistants, document processing. Grounded answers with citations, automated evals in CI, human escalation built in — from a scoped pilot to a production system.
Full-stack product work with the same craft that ships the AI — Next.js, TypeScript, Python. Often where an AI engagement starts or ends.
A live multi-tenant SaaS that drafts customer-support replies grounded in each company's own help docs — every answer cited back to its exact source.
Visit the live product
Marcus took a workflow we'd been drowning in and just handled it. Every decision explained in plain English, every answer traceable to a source, delivered on the timeline he quoted.
We expected a chatbot. What we got was a proper system — with checks, sources and a human fallback. It's the first AI tool our team actually uses.
No account managers, no handoffs, no junior team learning on your budget. One senior engineer, end to end.
You pay for engineering, not office space and layers of management. Decisions take a conversation, not a meeting cycle.
If AI is the wrong answer for your problem, I'll say so in week one — not after six months of billing.
Code, prompts, data, infrastructure — all in your accounts, all documented, no lock-in of any kind.
A free call. We find where AI genuinely pays off in your business — and where it doesn't.
A small, fixed-scope build that proves the value on your real data before you commit to more.
The production system — evals, guardrails and escalation included, not bolted on.
Documentation, training, and no lock-in. You own everything I ship.
The AI Readiness Audit is £495, fixed. Builds are scoped per project after the audit or a discovery call, so you always know the full cost before anything starts — no open-ended billing. Web development is charged at a day rate.
The audit takes one to two weeks. A pilot build typically ships in two to four weeks, and a full production system in one to three months depending on scope. You see working software from the first weeks, not at the end.
Yes — everything. Code, prompts, evaluation suites, data and infrastructure all live in your accounts and belong to you. When we're done, you can maintain it yourself, hand it to another developer, or keep working with me. No lock-in of any kind.
Your data stays in your own accounts and environment. I use commercial AI APIs with training on your data disabled, and the systems I build are designed so sensitive data never leaves your control. Happy to sign an NDA before we talk specifics.
Then I'll tell you — that's the point of starting with an audit. Some workflows aren't worth automating and some problems have cheaper non-AI fixes. The audit report is yours either way, and you'll know exactly why, not just whether.
Small and mid-sized businesses, mostly in the UK, fully remote. The common thread is a workflow drowning in repetitive text work — support inboxes, document processing, internal questions — rather than any particular industry.
Leading commercial AI models (primarily Anthropic's Claude), open-source models where they fit, and a modern web stack — TypeScript, Next.js, Python, PostgreSQL. Everything is model-agnostic by design, so you can swap providers as the market moves.
Book a free 30-minute intro call. We'll talk through where your time goes and whether AI can win some of it back. No pitch, no pressure — if there's nothing worth building, I'll say so on the call.
I'm Marcus — a full-stack engineer with five years shipping production web applications, now designing and delivering AI systems end to end.
Most AI consulting stops at the slide deck. I take the other route: find the opportunity, scope it honestly, build it properly, and prove it works with measurable evals. Based in Bristol, UK — working remotely.