Constructing
SVC.07ServicesAI integration
We build AI into businesses the way we build anything else: against a measurable job. Assistants that answer customers and staff from your own data, extraction that reads documents so people don't have to, workflows that draft so humans only review. The result is a business that serves more customers, turns work around faster and spends its people on the parts that need people. And when AI isn't the right tool, we're the supplier that tells you.
AI embedded in the systems you already run, doing work that used to queue — not a chatbot widget bolted on for the press release
Unstructured work — documents, email, transcripts, calls — converted into structured data your systems and reports can use
Clear economics: every AI feature tied to time saved, capacity gained or revenue created, and reviewed against that number
What we deliver
Assistants grounded in your documents, policies and data — answering customers around the clock or giving staff instant answers — with guardrails, review paths and honest limits.
Invoices, contracts, applications, reports: read, extracted, classified and pushed into your systems as structured data. Days of keying become minutes of checking.
Drafting, summarising, triaging and enriching inside your existing processes — humans approving, not typing. Faster quotes, faster replies, faster onboarding.
Ask questions across your own knowledge — proposals, policies, project history — and get answers with sources. Institutional memory that doesn't leave when people do.
Provider selection, prompt engineering, evaluation and cost control. Built to swap models as the market moves, so you're never locked to one vendor's pricing.
A short, fixed-scope build that proves whether the AI use-case survives contact with your real data — and whether the return justifies the spend — before you commit real budget.
Straight answers
Usually where people read, sort or write the same kind of thing all day: inbound enquiries, documents, quotes, support. We start by measuring that load, then build for the biggest slice of it.
No. We use commercial APIs with training disabled and data processing agreements in place, and we'll walk you through exactly where your data goes.
Feasibility sprints are small and fixed. Production builds are scoped like any software project — and we'll tell you early if the economics don't work.
Systems that face customers get grounding, citations, confidence thresholds and human review paths. Where the risk still outweighs the value, we'll recommend keeping a human in front.