Services
Five services. Engineered, then operated.
Four of them are engineering. The fifth is the demand layer that makes sure somebody actually arrives at what we built. Each has a defined scope, a timeline and a number it is meant to move — and the capabilities inside it can be scoped and bought individually.
AI Agent Development
WhatsApp, voice and web agents that answer, qualify and route every enquiry in seconds.
Solves
“Enquiries arrive around the clock and nobody answers until Monday.”
What is included
What changes
Every enquiry is answered in seconds, on the channel it arrived on, at any hour.
The number that moves
First-response time · containment rate · enquiry-to-meeting rate · after-hours capture
Includes: WhatsApp AI agent development · AI voice agent development · Website chat and support agents · Agent orchestration and tool use · CRM, ERP and helpdesk integration · Evaluation, guardrails and monitoring
Signed off by: CTO · CMO · Head of Sales · Customer Experience
Custom AI Software Development
LLM applications, agentic workflows and AI features engineered into your own product.
Solves
“We know what we need built. Nobody we have spoken to can actually build it.”
What is included
What changes
AI that survives real users, real data, and the day the model underneath it changes.
The number that moves
Accuracy against threshold · cost per transaction · latency · regression rate
Includes: LLM application development · RAG and knowledge systems · Agentic workflow automation · Document and data extraction · AI features inside your product · Evaluation, observability and cost control
Signed off by: CTO · VP Engineering · Head of Product
Digital Platform Engineering
Websites, commerce, portals and web applications engineered for speed, conversion and AI discoverability.
Solves
“Our platform was built for a smaller version of this business.”
What is included
What changes
A digital estate that converts, and that you can change in days rather than weeks.
The number that moves
Conversion rate · Core Web Vitals · time to publish · qualified enquiries from site
Includes: Website design and development · Ecommerce development · Web and mobile application development · Systems integration and data engineering · AI-native content architecture · Cloud, DevOps and analytics implementation
Signed off by: CTO · Head of Digital · CMO
AI Consulting & Enablement
Where AI pays in your business — costed, sequenced, governed, and taught to your team.
Solves
“We have bought AI tools and cannot show what they returned.”
What is included
What changes
A defensible plan for where AI pays — and the team capable of using what gets built.
The number that moves
Adoption rate · licence utilisation · hours returned per week · cost per transaction
Includes: AI readiness and data assessment · Use-case identification and ROI modelling · AI licence and adoption audit · AI governance, policy and risk · Architecture and build-vs-buy review · Role-based team training
Signed off by: CTO · COO · Head of Transformation · CMO
Growth Marketing & Search
The demand layer on top of what we build — performance media, SEO, AI search visibility and content, run as one instrumented system.
Solves
“We spend more every year for the same pipeline.”
What is included
What changes
Cost per qualified lead comes down, because the system learns between rounds.
The number that moves
Cost per qualified lead · creative win rate · contribution by channel · share of voice
Includes: Performance marketing · AI search visibility (GEO) · Search engine optimisation · AI content production · Lifecycle and CRM automation · Analytics, attribution and reporting
Signed off by: CMO · Head of Growth
How we deliver them
Principal-led, from architecture to production.
Every engagement is principal-led. The people who architect your system are the people who build it, and the people accountable for it once it is carrying real traffic.
Principal-led, end to end
No pitch team handing you to a delivery team. The person in your first meeting owns the architecture, the build and the production behaviour — and is reachable when something is on fire.
We work to your engineering standard
Your repository, your code review, your release process, your definition of done. Where you have no standard, we bring ours: eval gates in CI, tracing, audit logging and a documented architecture.
Strategy and delivery in one firm
Consultancies hand over a deck. Integrators build whatever the deck said. We are accountable for both halves, which is why we are careful about what goes into the plan in the first place.
We own it in production
Accuracy monitoring, eval regressions, model migrations, cost ceilings and a monthly report. The value of an AI system is decided in the eighteen months after launch, and that is the part most firms are not there for.
Standard on all four
What every engagement carries.
Not upsells. The baseline.
- A named lead who knows your business and answers you
- A baseline measured before we start, so there is something to judge
- Fixed scope agreed in writing before any work begins
- A monthly memo that recommends, not a dashboard screenshot
- Model and infrastructure costs billed at cost, never marked up
- Running costs held under a ceiling you approved
- Documentation good enough for whoever you hire next
- An honest answer when we think you should not buy something
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.
Not sure which of these you need?
That is what the free diagnostic is for. A 30-minute call, then a written view within 24 hours of what is worth building, in what order, and what it costs to run.