For growing companies that know AI matters but can't bet the roadmap on a maybe. We land one high-value use case in production, prove it moves a real number, then expand across teams — with the same senior team the whole way.
Best for teams of 200–1,000 with real systems, real data, and a use case that matters.
New capabilities inside the products and stack your customers and teams already use.
Support, finance ops, data, documents — the manual work that scales badly as you grow.
Take a proven use case and roll it out department by department, safely.
Every engagement starts with one use case, scoped and de-risked. Once it earns its keep, we build the next function with you — scope and terms set together, up front.
AI Pods
Senior leadership stays on the workflow with you. Delivery capacity scales with its complexity. Every pod ships into your own cloud account and is measured against one business metric agreed before the first line of code.
To a live proof of concept
400 pod hours / month
Validate and launch one bounded, high-value AI workflow.
Best for: your first AI system, or rescuing a pilot that stalled between demo and deployment.
Your pod
You own at the end
Working system, architecture decision record, baselined metric — in your cloud.
To governed production
800 pod hours / month
Own one production workflow from discovery through adoption.
Best for: a proven use case that has to survive a security review and a real user base.
Your podEverything in a Proof Pod, plus:
You own at the end
Code, prompts, evals, runbook — deployed in your cloud account.
Ongoing capacity, set to the roadmap
1,600 pod hours / month
Run two AI workstreams with shared senior leadership.
Best for: teams past their first workflow who don't want a new procurement cycle each time.
Your pod
You own at the end
Every system, every runbook — no platform to migrate off later.
A pod hour is senior delivery time. No junior layer, no bench time, no ramp-up billed against your window.
Fractions are calendar allocation, not accountability. The Pod Lead owns the outcome and the metric for the full window.
Scoped in a call, in writing, before any work starts. Workflow, metric and pod shape agreed in a 30-minute call; commercials in writing before the first line of code.
Concrete delivery, not slideware. One use case taken to production and handed to your team — then a clear path to scale.
We define one measurable metric before we write a line of code. If it hasn't moved within the impact window, we keep tuning until it does — at no additional cost. You never pay for AI that just sits there.
So the scope stays clear — and everyone knows the line before we start.
Included — one end-to-end use case (e.g. "add an AI assistant to our support portal," or "auto-triage inbound tickets") with the integrations it needs and one round of tuning.
The next step — a second use case, or rollout to more teams, is scoped as its own engagement once the first is proven.
FAQ
By finding out why. It's almost always permissions, data quality or an approval step nobody modelled — not the model. The first ten days are spent inside the operation, and the scope is set against what we find rather than what the original brief assumed.
No. That's the reason the pod exists. Your team sets the priority and owns the metric; the pod brings the architect, the engineers, the evaluation and the deployment. Your people are trained in the live workflow before handover, so capability transfers rather than dependency.
Alongside them. We build inside your architecture, your change process and your pipelines. Your systems integrator runs the systems of record; the pod takes one workflow neither they nor your internal team has capacity to own, and hands it back documented.
The next one, without a new procurement cycle. That's the point of the ladder — a Proof Pod becomes a Production Pod becomes standing capacity, with the same accountable owner and a shared evaluation layer across systems.
Scoped in a call, in writing, before any work starts. We agree the workflow, the metric and the pod shape, then send written commercials. Most first engagements are sized like one senior hire for a quarter — against a system that ships in weeks.
