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AI Delivery Pods

A Pod is a
structured unit of delivery

Each Pod is pre-configured with roles, tooling, cadence, and accountability frameworks. You direct the outcome. We own the execution.

14 days
To active delivery from contract
98.4%
Average on-time SLA across all Pods
24/7
Async communication guaranteed
Pod Structures

Choose your
Pod tier

Three Pod structures designed for different scale and complexity requirements. All include our delivery framework, SLA accountability, and async-first communication.

Starter Pod
Starter
For agencies shipping 1–3 concurrent workstreams
From £3,500/mo
AI tuning cycle-based engagement · 2-week minimum
  • 2 AI Engineers assigned
  • 1 dedicated Delivery Lead
  • Weekly AI tuning cycle cadence
  • Async-first communication
  • Slack / Notion / Linear integration
  • AI cycle tuning review & reporting
  • AI Evaluation Specialist (not included)
  • Dedicated Project Manager (not included)
Get Started →
Most Popular
Growth Pod
Growth
For SaaS & automation firms scaling output
From £7,500/mo
AI tuning cycle-based engagement · 2-week minimum
  • 4 AI Engineers assigned
  • 1 dedicated Delivery Lead
  • 1 AI Evaluation Specialist included
  • Bi-weekly delivery reviews
  • 48h intake → scoped SLA
  • White-label option available
  • Full tool integration suite
  • 98% on-time SLA guaranteed
Book a Scoping Call →
Scale Pod
Scale
For enterprise delivery or multi-client volume
Custom
Enterprise pricing · Contact for a quote
  • 6–8 AI Engineers assigned
  • Dedicated Project Manager
  • AI Evaluation Specialist & Forward Deployed Engineer
  • Custom SLA guarantees
  • Multi-client volume support
  • Custom tooling & integrations
  • Monthly executive reporting
  • Dedicated account management
Contact Us →
Pod Structure

Who's in
your Pod

Every Pod is assembled with clearly defined roles, each with documented accountability. No ambiguity, no gaps — structured delivery from day one.

🧭
Delivery Lead
Manages cadence, stakeholder updates, and delivery accountability across the Pod.
⚙️
AI Engineer
Build specialist. Designs and implements AI workflows, automation, and product features in AI tuning cycles.
🔍
AI Evaluation Specialist
Quality gatekeeper. Evaluates outputs, validates performance, runs testing frameworks, and ensures every deliverable meets defined standards before handoff.
📊
Forward Deployed Engineer
Client-facing technical operator. Bridges strategy and implementation, manages integrations, supports deployment, and ensures solutions perform effectively in production environments.
SLA Commitments

Commitments we
put in writing

Every Pod engagement includes documented SLA commitments. Not promises — contractual obligations.

48h
Intake to Scoped Plan
Every brief is reviewed, scoped, and confirmed with a delivery plan within 48 business hours of receipt.
98%
On-Time Delivery Rate
Measured across all active Pods. AI tuning cycle commitments are met or flagged proactively — no silent slippage.
24/7
Async Communication
Async-first, 24/7 availability across time zones. You're never waiting for an update — we push, not pull.
Start Delivering

Your delivery infrastructure.
Ready in two weeks.

Book a 30-minute scoping call. We'll match you to the right Pod structure, confirm fit, and have your team operational within 14 days.

Book a Scoping Call → View Case Studies