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Teams

Give engineering, product, and design one shared operating layer for governed AI work.

Teams is the organisational layer above the public MCP/distribution wedge and the Pro practitioner loop. It exists so the right three roles can review the same scorecards, overlays, and decisions instead of governing AI in silos.

Key Facts

Base fee
£299 / month
Cross-Functional AI Core
1 Lead Engineer, 1 Product Manager, 1 Product Designer
Extra seats
+£39 / month
Commercial model
Sales-led / early access
Why Teams is not just more seats

If this layer were priced like a normal seat bundle, teams would treat it like another tool login. Teams is meant to behave like organisational infrastructure: a shared operating standard for AI distribution, validation visibility, and approval boundaries.

The public MCP and installable assets spread the doctrine into tools
Pro proves recurring value for one practitioner
Teams makes that value governable across engineering, product, and design
What the trio sees together

The point is not three parallel views. The point is one shared layer of context and evidence that each role can read through its own lens.

Shared validation visibility instead of isolated private runs
Private overlays for Figma rules, codebase standards, and internal context
Doctrine-aligned review scorecards that can circulate across the product organisation
Governed distribution of the same standard across tools and repositories

The Cross-Functional AI Core

The base package is intentionally structured around the three roles that have to stay aligned if AI work is going to ship safely and coherently.

Two paths before launch

Some teams want to shape the product early. Others simply want the model, pricing, and package to be clear before general availability. The page should support both.

Apply as a Trio if you want to join the closed beta as a cross-functional team
Notify me at launch if the model is relevant but you prefer to wait for the broader release

When to stay on Pro vs move to Teams

Stay on Pro when
one practitioner is still validating whether the protected loop creates recurring value
the workflow is still local to one owner
you do not yet need shared oversight or cross-functional visibility
Move to Teams when
engineering, product, and design all need to review the same AI decisions
private overlays and governed distribution matter more than individual critique
the organisation wants a standard, not just one practitioner workspace
Ready to use Teams as the organisational layer?