AI Enablement Hub
Level up
for AI readiness.
The AI Enablement Hub helps organisations move up a five-stage AI maturity model. People learn through labs on their own real work and advance the moment their evidence clears three gates: evidence, in use, governance.
- 5
- Stages of AI maturity
- 3
- Gates to advance a stage
- 1
- Trust layer over every agent
The AI maturity model
- 1AwareKnow the tools and where the risks sit.
- 2ExperimentingUse AI on real work, supervised.
- 3OperationalEmbedded in day-to-day motions.
- 4SystemicWorkflows and agents designed around it.
- 5TransformativeReshape the operating model; coach others.
Sign in
Use the work email and password issued to you by your Hub administrator.
Accounts and roles are provisioned inside the Hub. Contact your administrator if you need access.
Belt levels
Foundation → White → Yellow → Applied → Lead → Green → Brown → Black.
Each belt maps to a stage of AI maturity. You advance when your evidence clears the gates, not when a course ends.
The three gates
Evidence · In use · Governance.
Evidence proves the capability. In use means the output is deployed in real work. Governance passes guardrails, evals, and human review.
Trust layer
Evals, guardrails, and human sign-off over every agent.
Model allowlisting, automated evals, and guardrails sit beneath every agent. Agents draft; people decide. Every score carries a written rationale and can be appealed.
Learn on real work
Role-based paths and live labs on your own campaigns — not classroom hypotheticals.
Advance on evidence
Every stage is earned: submissions reviewed by people and agents, with a written rationale.
Governed by a trust layer
Evals, guardrails, and human sign-off over every agent. Agents draft; people decide.
Agents draft; people decide. Every score carries a written rationale and can be appealed.