There's no plug-and-play AI for a real business. There's one built around yours.

Agreed at scope, because every project, idea and vision is different. A solo-trader clinic wanting an AI receptionist and a regional services firm wanting a knowledge-base agent across six locations don't share a build cost - and pretending they do, on a published rate card, means somebody is overpaying. We talk through what you actually need, agree the scope and the price in writing, then build. Monthly hosting and maintenance sit on top and are agreed in the same conversation.

No - and anyone giving you those numbers up front is either guessing or selling you something they can't deliver. Real AI savings come from a build that fits your actual operations, evaluated honestly month after month against the work it's meant to be doing. We'll tell you what's realistic for your shape before you sign, and we report monthly so you can see the line moving rather than trust us that it is.

No. The agencies promising that are either shipping a template that doesn't know your business or sending the customer to OpenAI / Voiceflow under their badge. We do real scoping first, then real building - the timeline depends on what you actually need (some things are quick, others aren't). The 24-hour-deploy posture is exactly the thing this page exists to push back on.

Depends on the scope we agree together. Where the compliance posture demands no third-country processing - and the budget allows - we'll deploy a self-hosted open-weights model (Llama / Mistral / Phi via Ollama or vLLM) so no data leaves your perimeter. Regulated-sector buyers (clinics, solicitors, accountants, FCA-regulated firms) usually need the self-hosted shape; consumer-facing brands usually don't.

Possible, but rarely the right answer. Most buyers who ask for fine-tuning actually want retrieval-augmented generation - the AI looks up your business knowledge before it answers, instead of trying to memorise it. RAG is cheaper, easier to update, less model-version-locked, and produces more accurate answers for business questions. We'll tell you which one fits your shape; if it really is fine-tuning, we do that too, but we won't reach for it just because the buyer asked.

Yes - replatforming off a generic AI wrapper is one of the six shapes of work we do under this service. We rebuild the integration on a stack you own, port your prompts and knowledge base, add evaluation and audit logging, and ship it on infrastructure where you're not paying per-task / per-message / per-resolution markup. Same outcomes, predictable cost, no vendor lock.

The retainer covers the cost of keeping the AI alive - the LLM-API budget on whichever provider we settled on, prompt-pipeline versioning, evaluation runs, knowledge-base re-ingestion as your source documents move, model-version migrations when providers deprecate, channel-platform shifts (WhatsApp Business rule changes, OpenAI deprecations, etc.), and per-conversation audit logging. The monthly figure is agreed when we scope your build, because every engagement sits on a different shape of backend.

We've read the SRA / FCA / MHRA / GMC / ICO guidance and we build to the bounds it sets. Human-in-the-loop on any decision affecting a customer's standing. Audit trails the regulator can ask for. Data residency choices that match your compliance posture. We won't pretend the guidance doesn't apply, and we won't build something we wouldn't be comfortable defending in front of your regulator.

Fill in the form below. Tell us what your business does, what you'd like AI to actually do for you - or just write 'don't know, the board's asking, help'. We come back within 24 hours by email - the start of a no-fee process discovery conversation that ends with a written shape and a price, or with an honest 'no, AI doesn't fit there yet' if that's the answer. If it lands, we agree it in writing and start. No calendar widget, no forced demo, no per-seat creep.