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Platform/Govern/Policy & Governance

Control what AI is allowed to do.

Set the rules once for the whole organization: what can be accessed, what can be acted on, what has to be approved. They are enforced at the moment of execution rather than written down and hoped for.

This capability is called Policy & Governance
Policy & Governance
01

Written policy is not a control

A rule in a document depends on everyone remembering it. A rule in the system does not.

02

Rules are re-implemented per project

Each team's interpretation drifts, and the gaps only surface during an audit.

03

No one can show the rule was applied

Demonstrating intent is not the same as demonstrating enforcement.

How it works

Define the rules centrally. Then it just runs.

1

Define the rules centrally

Access, action and automation limits are set at organization level.

2

Inherit them everywhere

Every runtime picks them up automatically rather than restating them.

3

Enforce at the call

Each request is checked before it executes, and the governing policy is recorded with the result.

Details

What you get

Scope
Organization, business unit, runtime or role.
Controls
Access, permitted actions, automation limits and approval requirements.
Enforcement
Preflight on every governed call, before execution.
Change control
Policy versions tracked with owners and reasons.
Evidence
The policy in force is recorded alongside every outcome.

Move past the pilot.

Talk to the team that has already put governed AI into production.