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.
- Duration
- Monthly, cancel with 30 days' notice
- You get
- 2-3 engineers shipping, monitoring and improving AI in production
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
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
Exactly what happens, and when
- Week 1Onboarding: access, monitoring setup, backlog and KPI review.
- Each sprint (2 weeks)Ship improvements and new use cases; demo every sprint.
- MonthlyKPI and cost report, roadmap review and next-month priorities.
- QuarterlyArchitecture and model review to keep cost and quality in line.
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.
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.
Pods can scale up or down each month, or hand the system over to your in-house team.
Projects that started this way

Agent ops from prototype to production
An operations console to register, run, monitor and govern fleets of AI agents

AI call screening on web + mobile
An AI phone assistant that screens calls and messages across web and mobile
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.
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
