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How we work
Something visible in month one. A plan with numbers against it. And an honest answer when part of your wish list will not pay for itself — before you have paid us to build it.
Understand the business before touching the architecture.
What actually makes you money, which systems the work passes through, what your team spends its week on, and what the last vendor got wrong. We measure a baseline so there is something to be judged against later.
What you get
A costed plan with an architecture against it, back inside a day.
What we will do, in what order, what it should move, and what it costs to run. If something in your wish list will not pay for itself, we say so now rather than invoicing for it.
What you get
First system in production inside three weeks, then compound.
Something running in the first fortnight — a live agent, a rebuilt surface, a working integration. Agentic tooling does the volume work, which is what makes that possible; the boring parts are still done properly, because that is what makes it last: evals, tracing, permissions, guardrails, cost ceilings.
What you get
Still working, still accurate, still affordable next year.
Monthly reporting that recommends rather than describes. Accuracy and drift monitoring on anything AI-powered, eval regressions caught before users see them, model upgrades handled, and running costs kept under the ceiling you approved.
What you get
Principles
They cost us revenue occasionally. They are also why clients stay past the first year.
A rebuilt page, a live assistant, a working screen you can click. Not a strategy document and a timeline. If you cannot see what you are paying for in the first week, the estimate behind it cannot be checked either.
If an automation will not pay for itself, or your website is fine and the real problem is your offer, we say so. We have talked clients out of work. It is why they call back.
Every month you get a memo saying what to scale, what to kill and what to test — not a dashboard screenshot you could have opened yourself.
We model what an AI system costs per conversation or per document before writing code, and hold it under a ceiling you approve. We never mark up model costs.
You get someone who knows your account and answers you. Not a ticketing system with a first-response SLA and a rotating cast.
Why it is fast
The honest answer to how a website ships in a week and a production system in weeks rather than quarters — including the parts that did not get faster.
Your systems, your competitors, the integrations involved and the constraints around them — gathered and summarised by tooling before the first call, so the conversation starts at the specifics instead of arriving there.
Scaffolding, wiring, integrations against documented APIs, migrations and the second and third pass of a design are done by agentic tooling under a senior engineer who owns the architecture. That was always most of the calendar and none of the value.
Test suites, accessibility and performance checks, and for AI systems an evaluation set with regression gates — generated broadly, then curated. Volume is where tooling is strongest and where humans are slowest.
Environments, pipelines, monitoring and rollback configured as part of the build rather than as a project at the end of it. Shipping on day three forces this to exist early, which is the point.
Deciding what to build. Getting access to your systems and your data. Review by the people who will live with it. We plan around those, because they are what actually sets the date — and a firm that pretends otherwise is quoting a timeline it does not control.
The risk in this way of working is volume without ownership: a great deal of plausible code, quickly, that nobody senior read. We wrote about where it goes wrong, including the question to ask any firm quoting you an unusually fast timeline.
Straight answers
Written plainly, so a person and an AI engine can both quote them accurately.
We are an applied AI engineering firm. We study how a business actually runs, produce a free Opportunity Diagnostic showing where AI would pay and where it would not, and then build and operate the systems end to end — AI agents on WhatsApp, voice and web, custom AI software and agentic workflows, the digital platforms and integrations underneath them, and the search and campaigns that feed them.
It depends on what the work turns out to be, and we would rather know that before quoting. Every engagement starts with a free diagnostic: thirty minutes on how your business actually runs, then a researched plan within 24 hours — what to build, in what order, what it would change, and what we would leave alone. The price comes out of that, sized to the value it creates, and is fixed in writing before anything is built.
Yes, and it is yours to keep whatever you decide — including if you take it to another firm or build it with your own team. It costs you one 30-minute call, and the written plan lands within 24 hours. We do it free because we would rather earn the work by being useful first.
We build it, and then we run it. The people who study your business are the people who write the code, so nothing is lost handing over to a delivery team you have never met. After launch we keep monitoring accuracy, catch eval regressions, migrate models when providers deprecate versions, and hold running costs under a ceiling you approved.
AI agents on WhatsApp, voice and web; custom LLM applications and RAG systems over your own data; agentic workflows that call your systems; document and data extraction into your ERP or CRM; AI features inside your own product; and the websites, web applications, integrations and data pipelines underneath them. Plus the search, content and campaigns that generate demand for what we build.
We'll show you how six AI engines describe your business today, and where your competitors get recommended instead. Takes us a day, costs you nothing, and you keep the findings either way.