Custom AI assistants on your data. Trained on your voice, your docs, your customers. Routing, triage, drafted replies, internal Q&A — built where the work actually happens, not bolted on a sidebar.
Not a chatbot in a sidebar. A purpose-built tool that does one or two things very well — triage, drafting, internal Q&A — on top of your data, in your voice.
Customer history, SOPs, product catalogue, past replies — indexed with retrieval-augmented generation. The model only answers from sources you control.
Trained on your past replies, your tone, your house style. Suggested drafts feel like you wrote them — because they're written from how you write.
Inbound enquiries classified by type, urgency, customer history. Routes to the right owner with a draft reply pre-loaded. Reply time falls without quality dropping.
Internal assistant that answers staff questions from your SOPs and policies. Cites the source document. New starters productive on day one without owner intervention.
Hard guardrails: cites sources or says it can't answer. No hallucinated procedures. Confidence thresholds tuned to your tolerance. Owner reviews flagged outputs.
Daily summary: queries handled, escalated, deflected. Where the model is confident, where it isn't. The assistant earns trust by being measurable.
Two weeks reading the actual work — past replies, SOP coverage, the questions staff already ask — before we tune a model. The build follows the manual triage you're sick of doing.
Two weeks reviewing past customer threads, SOP gaps, and the repeat questions staff already ask. The model starts with how you already work, not with a generic prompt.
One use case gets prioritised — usually triage or internal Q&A. We define guardrails, success metrics, and the smallest scope that proves it works.
We index, tune, instrument. Ninety days of stabilisation while it earns trust on real traffic. Owner review queue, audit log, exportable model layer. Owned by you.
An independent garage owned eighteen years of accumulated SOPs — MOT pre-checks, warranty paperwork, customer-courtesy-car policy — across paper binders, an old Wiki, and the head technician's memory. Three-week build: ingestion of every doc into an AI assistant on the workshop tablet, source-cited answers (no hallucination — every reply links to the SOP page), confidence-gated auto-send for status updates to customers. Technicians stopped interrupting each other to ask "is this an MOT-fail item?"; the head tech got back two hours a day.
How we measure: 614 questions logged in the assistant over 90 days; technician interruption events sampled by floor observation, weeks 1, 4, and 12; baseline taken from the prior month's WhatsApp group history.
Each one a tightly-scoped fix for a row that's bleeding on the P&L.
Enquiry, deposit, reminder, no-show recovery, rebook. The full loop, not a calendar widget.
WhatsApp, email, phone, DM, walk-in — one queue. Routed by skill, owner, and SLA.
Your P&L, bookings, ops, suppliers, forecast — six instruments, calibrated.
One searchable, owned, exportable brain for the business.
Hand-coded, fast, owned. The opposite of Webflow lock-in.
One call. No deck. We come prepared.
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