Step 3 · AI Pod

AI Pod: a dedicated 2-3 person AI team on your roadmap

Once an AI system is live, it needs someone to watch quality, control cost and ship the next use case. An AI Pod is a small senior team that does exactly that, with monthly reporting you can show your board.

See how we work
Duration
Monthly, cancel with 30 days' notice
You get
2-3 engineers shipping, monitoring and improving AI in production
Fit

Who it's for and who it isn't

Good fit

  • Teams with a pilot that passed and needs to reach production
  • Companies running several AI use cases that need ongoing care
  • Startups without in-house AI engineers

Not a fit

  • One-off fixed-scope projects, which suit a project build better
  • Teams that only need occasional advice (ask about advisory hours)
  • Staff augmentation for non-AI roles
What you get

Deliverables

  • 2-3 engineers led by a senior AI engineer
  • Production monitoring: quality, latency, cost per run
  • Monthly roadmap, demo and KPI report
  • Guardrails, evaluations and incident response
  • New use cases shipped from the backlog
  • Model and cost reviews as providers change
The plan

Exactly what happens, and when

  • Week 1
    Onboarding: access, monitoring setup, backlog and KPI review.

  • Each sprint (2 weeks)
    Ship improvements and new use cases; demo every sprint.

  • Monthly
    KPI and cost report, roadmap review and next-month priorities.

  • Quarterly
    Architecture and model review to keep cost and quality in line.

Team

Who you'll work with

Lead AI Engineer

Accountable for quality, cost and the roadmap.

1-2 AI / Full-stack Engineers

Ship features, integrations and fixes.

Specialists (on demand)

Voice, data, DevOps or design when the backlog needs it.

Decision gate

Go / Adjust / Stop

How we decide what happens at the end.

Go

Each month the pod hits its KPI targets and the roadmap continues.

Adjust

Targets slip. We re-plan scope, team mix or model choice.

Stop

Cancel with 30 days' notice; you keep all code, prompts and documentation.

What happens next

Pods can scale up or down each month, or hand the system over to your in-house team.

FAQ

Frequently asked questions

Straight answers on cost, timelines, ownership and data.

Usually within 1-2 weeks of signing, faster if it continues straight from a pilot.

We plan daily overlap with US Eastern or UK hours and agree a standing meeting time.

Yes, month to month, with notice.

You own all code, prompts, evaluations and documentation.

Next step

Talk about an AI Pod

Book a short call with a senior engineer. No pitch deck, just a clear next step.

  • We reply within 1 business day.
  • NDA available on request
  • You own all code from day one

Talk about an AI Pod

What do you need? Select one or more

We reply within 1 business day.