Custom workflows designed around how your service business actually operates. Self-hosted, fully documented, and connected to the tools your team already uses — no black boxes, no rented automations.
AI isn't a feature to bolt on — it's a layer that sits inside every workflow, reading your data, drafting your answers, and freeing your team to do work only humans can.
reduction in manual document handling across ops
faster internal knowledge lookups for support teams
of routine written work drafted before human review
average weekly time returned per knowledge worker
Every integration is designed as a system — grounded, monitored, and connected to the tools your team already uses.
Retrieval-augmented generation over your documents, CRM, and internal databases — answers your team can actually trust.
OpenAI, Anthropic, Mistral, or self-hosted open models — we pick the right engine for each workflow, not the loudest brand.
Every prompt, retrieval, and response is logged and reviewable. No black-box outputs slipping into your operations.
Six AI patterns we build again and again for UK service teams — always shaped to your specific operation, never a copy-paste template.
Ground LLMs on your internal docs, CRM, and knowledge base — with citations your team can verify.
Book a Call to Learn moreDraft replies, classify tickets, and surface the right knowledge — inside your existing helpdesk.
Book a Call to Learn moreParse contracts, invoices, and RFQs into structured data flowing straight into your systems.
Book a Call to Learn moreScore, summarise, and enrich inbound leads before they hit a rep's inbox.
Book a Call to Learn moreAI-drafted reports, briefs, and status updates — reviewed by humans, not written from scratch.
Book a Call to Learn moreBespoke LLM pipelines wired into n8n — classification, extraction, and drafting inside real operations.
Book a Call to Learn moreAI integration isn't a single tool — it's a stack. Here's what we install, layer by layer, from your data all the way to the surface your team works in.
Where your team actually meets AI — inside Slack, your helpdesk, your CRM. No new tab to open.
PII redaction, refusal handling, and a regression eval suite that runs on every prompt change.
Model-agnostic routing with cost caps, fallbacks, and per-workflow model selection.
Hybrid semantic + keyword retrieval, reranked and citation-tracked back to the source.
Vector store on infrastructure you control, indexed from your docs, CRM, and databases.
Real integrations, real results. A snapshot of the AI infrastructure we’ve shipped for UK service operators.
A professional services consultancy relied on an AI voice agent to handle inbound discovery calls, but had no reliable way to capture outcomes, sync booking status, or keep a single source of truth for leads across calls and follow-ups.
A B2B services business wanted to offer WhatsApp as a contact channel without sending visitors off-site to a thirdparty app, and needed replies handled by an AI agent grounded in the business’s own knowledge base rather than generic scripted responses.
We deploy AI on infrastructure you control — vector stores, retrieval pipelines, and LLM gateways scoped to your business. Your data never becomes someone else's training set.
The technical depth behind every integration — the reason our AI systems outlast the model that powered version one.
Dozens of production LLM systems shipped — we know the retrieval patterns, the prompt failure modes, and the eval loops before they surface in your ops.
Every AI pipeline is designed as part of a larger system — version-controlled, environment-scoped, and reviewed like real engineering artefacts.
Credentials vaulted, PII scoped, and every inference auditable. Your AI layer meets the compliance bar your business already operates against.
Model choice is an implementation detail — we abstract it so you can swap engines as the frontier shifts, without rewriting your workflows.
The engineering choices that make our AI integrations outlast the model that powered the first release.
Hybrid semantic + keyword retrieval tuned per use case — not a naive top-k vector lookup.
PII redaction, output validation, and refusal handling as first-class parts of every pipeline.
Prompts, chains, and eval sets live in git — reviewed, diffed, and deployed like the rest of your stack.
Every pipeline ships with a regression eval set so upgrades don't silently break your operations.
Book an AI Audit and we’ll map your current stack, surface the highest-leverage AI workflows, and show you what a grounded integration can unlock.