How we work
Look. Plan. Build. Run.
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.
Look
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
Plan
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
Build
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
Run
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
Five rules we do not bend.
They cost us revenue occasionally. They are also why clients stay past the first year.
Something ships in month one
A rebuilt page, a live assistant, a campaign in market. Not a strategy document and a timeline. You should be able to see what you are paying for within four weeks.
We will tell you not to buy something
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.
Reports recommend, they do not describe
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.
Running costs are agreed before we build
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.
A named person, not a queue
You get someone who knows your account and answers you. Not a ticketing system with a first-response SLA and a rotating cast.
Straight answers
Questions we get before the first call.
Written plainly, so a person and an AI engine can both quote them accurately.
What does Geeks & Nomads do?
We are an applied AI engineering firm. We study how a business actually runs, produce a free AI 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.
Why do you not publish prices?
Because we do not know what your business needs until we have looked at how it runs. A published price list forces a lowest-common-denominator quote and invites you to compare a system designed around your process with an off-the-shelf bot. Scope comes out of your free plan, and the price is then fixed in writing before anything is built.
Is the AI Opportunity Diagnostic really free?
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.
Do you only advise, or do you build it as well?
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.
What can you actually build?
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.
Step one is free.
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.