100% uptime.
60% lower
costs.
Deploy intelligent automation
that doesn't sleep, call in sick, or miss a deadline.

Because the model is almost never the problem — the workflow, data or governance is. I redesign the workflow before any agent is written, define success metrics before we build, and ship every system with human-in-the-loop review and an eval set. That's the pattern the McKinsey AI 'high performers' use — and the pattern 70% of failed projects skipped.

That's the most common starting point in 2026. Usually the pilot proved the model works, then died because nobody redesigned the workflow around it, or nobody wired it into the real business systems, or nobody put a review loop in. Discovery starts with 'what didn't work and why' — the second attempt is usually shorter than the first.

UK/EU-region hosting where the data needs it, scoped credentials per system, no client data through third-party training endpoints, and audit logs on every action an agent takes. If you're in a regulated industry (legal, finance, healthcare) we scope the compliance requirements in discovery, before a line of code is written.

Almost certainly. I prefer modern tools (TypeScript, Python, Postgres, n8n, Claude) but I integrate inside whatever you already have — Zapier, HubSpot, Salesforce, Xero, Notion, Airtable, Sheets, Slack. Legacy systems too — that's where most of the integration work actually is.

Website chatbot: 3–5 days. Starter automation: 3–7 days. Systems build: 2–4 weeks. Custom transformation: 6 weeks to 6 months. Working staging URL inside 72 hours of kick-off — you're never in weeks of silence.

£250 setup + £30/mo, and there's a free 2-day trial so you can see it working on your site before you commit — no card required. Setup covers scoping the bot's knowledge, tone and lead-capture handoff (into email or your CRM), plus the site embed. The £30/mo includes hosting and up to 2,000 messages per month; overage is £15 per additional 1,000. It's an order of magnitude cheaper than a Starter automation because it's productised — one code path, one hosted setup. The AI on my website is exactly this offering.

Every system ships with logging, alerts and an eval regression check. 30 days of warranty fixes are included; a Systems retainer covers ongoing monitoring, drift checks and improvements.

Cost-plus. I estimate the build hours based on complexity (workflow size, integration count, regulatory scope, volume), add the runtime infrastructure your system will need per month, load in overheads and a fair profit margin, and quote you a fixed price. The tier you see on the pricing page (Starter / Systems / Custom) is the ballpark — the actual number comes from what YOUR system needs, not what someone else's needed. That's why prices say 'from' — a workshop automating one email flow shouldn't pay what a hospitality group replacing reception pays, and vice versa.

GEO is making your business citable by AI answer engines — ChatGPT, Perplexity, Gemini, Google's AI Overviews. When a customer asks an AI 'who's the best [your trade] near me?', the AI picks its answer from structured data, extractable headings, and authoritative content. GEO is the work of giving your site those signals: schema.org markup, llms.txt, answer-shaped FAQ content, and entity binding between your name and what you do. This site practises what it sells — view source.

No single detector is reliable enough to accuse someone — false positives are a legal risk. What works is a layered read: stylometric signals, metadata checks, version-history forensics where available, and structured comparison against the candidate's known writing. I build that pipeline for HR and admissions teams, and — just as important — help you write an AI-use policy that says what's actually allowed, so you're not policing a rule you never wrote down.

Deliberately solo, yes — and for most SME projects that's a feature, not a risk. The person you talk to on the first call is the person who architects, builds, and supports your system. No juniors learning on your budget, no handover between sales and delivery, no account manager in the middle. When a build genuinely needs more hands — a mobile app, heavy data migration, specialist design — I bring in trusted specialists I've worked with before, under my architecture and my responsibility. And every system ships with docs, eval sets and audit logs specifically so you're never locked to me.

Yes. The case studies on this site are anonymised because clients don't want their automation edge advertised to competitors — but that's for public view, not for you. Ask on any discovery call and I'll connect you with references relevant to your industry and project size. You can also judge the work directly: the demos on this site are live systems, not mock-ups — call the AI receptionist, run the workflow generator, read the open-source code.

I started AiM in 2024 and incorporated in 2025, so the company is young — I'd rather you hear that from me than from a Companies House lookup. Judge the output, not the incorporation date: the live systems on this site, the open-source repos, and the production systems running for clients right now. A 20-year-old consultancy selling you 2015 methods is a worse bet than a young one shipping systems you can click and test today.