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AI Pods

A small senior pod that owns the outcome

An AI Pod is a fixed, cross-functional unit (product lead, AI engineer, full-stack engineer and QA) that takes one AI outcome from scope to production in quarterly cycles. You pay for the result, not the hours.

Duration
Quarterly cycles
Format
Outcome-based delivery
Pricing
Fixed fee per cycle
Best for
Companies with a stream of AI work

A fixed-scope package

This solution has a defined scope, delivery format and timeline. Review what is included and what your team needs to provide before booking a scope call. If the work needs a different boundary or deeper customization, use the related service to plan a custom engagement.

Duration: Quarterly cycles. Format: Outcome-based delivery. Pricing: Fixed fee per cycle.

01Fit

Is it right for you?

A compact senior unit that owns an AI outcome from scope to production.

  • You have a roadmap of AI use cases, not a single project
  • You want a steady release pace without hiring a team
  • Leadership wants each quarter tied to a measurable outcome
  • Your engineers want a partner who ships alongside them

02Deliverables

What's included

  • 01

    Outcome charter

    Each cycle starts with agreed goals, metrics and scope.

  • 02

    Cross-functional pod

    Product, AI, engineering and QA under one accountable lead.

  • 03

    Two-week releases

    Working software demoed and deployed every sprint.

  • 04

    Shared tooling

    Our evaluation, guardrail and deployment frameworks from day one.

  • 05

    Quarterly review

    Results against the charter, and the plan for the next cycle.

  • 06

    Knowledge transfer

    Documentation and pairing so your team can own what ships.

03Timeline

How the weeks break down

  1. 01Week 1

    Charter

    Agree the outcome, the metrics and the backlog for the cycle.

  2. 02Weeks 2–11

    Deliver

    Two-week sprints with demos, releases and metric tracking.

  3. 03Week 12

    Review

    Results, lessons and the next charter, or a clean handover.

04Outcomes

What you walk away with

  • A predictable cadence of AI releases
  • Every quarter tied to a business metric
  • No recruiting, onboarding or line management on your side
  • Your team learns the stack as it ships

06FAQ

Frequently asked questions

View pricing guide
How is a pod different from hiring contractors?

You don't manage individuals or pay for hours. The pod commits to an outcome each cycle and is accountable for delivering it.

Can we change focus between cycles?

Yes. Each quarterly charter is agreed fresh, so the pod follows your priorities.

What if we want to bring the work in-house?

We plan the handover in the final cycle, with documentation, pairing and support while your team takes over.

How is the engagement priced?

We agree a fixed scope and price after reviewing the work, system dependencies and acceptance criteria. The pricing guide explains approved ranges for the engagement types it covers. A written proposal confirms what is included before a build starts.

AI Pods

AI Pods

One scope call, then a written proposal with deliverables, timeline, price and the team who'll deliver it.