Nomad OS

Custom AI for the workflows off-the-shelf can’t reach.

Document generation, knowledge assistants, data extraction, internal Q&A, workflow automation, built around your business logic, deployed in your environment, model-agnostic by design. Every Nomad OS build runs on a shared framework that gets stronger with every customer.

When to think about this

Nomad OS is for the moment you stop saying “we should use AI for this” and start saying “we need to build something.”

We don’t start engagements here. Most Nomad OS customers come from one of two places. Either they’re already on Managed Seats and a workflow keeps coming up, the manual thing the team wishes AI could handle end-to-end. Or they did training months ago, the team’s confident with AI, and now they need a tool rather than a skill.

Either way, the question isn’t “can AI do this?” The answer is usually yes. The question is “is this specific enough to your business that off-the-shelf SaaS won’t fit, and important enough to justify a custom build?” That’s what a Nomad OS Discovery answers.

Already done a Nomad Operational Audit? The Audit fee credits against a Discovery if you proceed within 60 days.

The three sizes

Discovery, Build, Platform.

Discovery

Start with an Audit

2–3 weeks

You think there's a workflow worth building, but you don't know what scope looks like or whether it's feasible. We run a structured discovery: 2–3 stakeholder interviews, process mapping, technical feasibility, model selection. You get a written recommendation with build options sized small, medium, and large, and a clear answer on whether to proceed. Discovery fees are credited against the Build fee if you go ahead.

Build

From €10,000

4–12 weeks

The bespoke build. Fixed scope, fixed price, weekly demos. Delivered on the Nomad OS framework, so you get production-grade auth, audit logging, monitoring, and a model-agnostic AI layer from day one. 30 days of post-launch support included. Optional maintenance retainer after.

Platform

From €30,000

3–6 months

For customers whose AI need is structural, multiple workflows, multi-team, real integration with their stack. Delivered as a suite of Nomad OS modules configured and integrated for you. Includes a longer Discovery, solution architecture phase, phased rollout, and 90 days of managed post-launch support.

The framework

Bespoke for you, built on shared foundations.

Every Nomad OS build runs on the same framework. To you as a customer, it looks like a bespoke solution, your design, your workflows, your branding, your environment. Under the hood, it’s a modular platform that gets stronger with every customer.

That matters because it means we’re not solving the same problem twice. Auth, multi-tenancy, audit logging, monitoring, the model-agnostic AI layer, and a growing library of modules (document generation, knowledge assistants, data extraction, workflow orchestration), all built once, used everywhere. New customers benefit from work done for old ones.

It also means you’re not locked to one AI provider. Every build routes model calls through our orchestration layer. Today your build might run on Claude; next year you might prefer ChatGPT Enterprise or Microsoft Copilot for the same workflows. That’s a configuration change, not a rewrite.

What we build

The patterns we know well.

Document Generation

Templated document output from structured input. Board minutes, share allotments, AGM packs, statutory forms, contracts, reports. Originally built for a chartered secretarial firm; now a reusable module.

Knowledge Base Assistant

Search and answers across your documents with citation, freshness tracking, and "I don't know" honesty. For teams who keep losing time hunting for the right policy, spec, or precedent.

Internal Q&A

A chat assistant integrated into your team's existing communication tools (Slack, Teams, Mattermost) that answers questions from your KB and structured data.

Data Extraction

Pull structured fields from unstructured input, emails, PDFs, forms, invoices, into your system of record.

Workflow Orchestrator

Chains of AI steps with human approvals and external system calls. For multi-step processes that currently sit in someone's inbox.

Governance

Acceptable use enforcement, prompt review queue, PII detection, audit-ready reporting. For regulated environments where AI use needs to be defensible.

If your workflow doesn’t match one of these, we’ll still build it. These are just the patterns we’ve already done two or three times.

How it runs

Weekly demos, no surprises, fixed scope.

  1. 01Week 0, Contract signed, kickoff scheduled.
  2. 02Week 1, Three-hour kickoff workshop with your team. We confirm scope, agree success criteria, agree which models we'll use, and set up a shared Mattermost channel.
  3. 03Weeks 2 to N, Weekly Friday demo. Async updates in the channel between demos. You have access to a staging environment from week 2.
  4. 04Penultimate week, Your team runs user acceptance testing. Bug fixes only, no scope additions.
  5. 05Final week, Handover. Training session for your admins. Documentation. 30-day support window starts.
  6. 06Week +30, Post-launch review. Adoption check. Conversation about maintenance retainer and what's next.

No fixed-fee scope expands without a paid change order. We’d rather have an uncomfortable conversation about scope than ship a project that’s lost its shape.

Try it yourself

Prefer to explore on your own?

Spin up a free Nomad workspace, add Claude seats, and connect your tools — try it yourself, no sales call and no card to start.

Start a free trial →

Ready to scope a build?

A 30-minute call about the workflow you have in mind, whether it's a fit for a custom build, and what shape a Discovery would take. No commitment.

Talk to us →