Cross-platform intelligence / AI

Check learning AI before you put it to work.

Practical intelligence for AI pilots, generated learning content, human review and measurable failure thresholds.

AI governance intelligence represented as an evidence-led decision system. — REVIEWED INTELLIGENCE2 published decision briefs
Read what the product documentation says, then check the integrations, permissions and testing your implementation needs.

How to use this coverage

Start with the decision, then inspect the evidence.

Each brief links to its sources, explains our recommendation and shows what remains uncertain. Updates and corrections stay visible.

Decision framework · Evidence D

What should an enterprise learning AI pilot actually prove?

Choose a task and record how it works today. Run a limited AI pilot with agreed error limits, a responsible owner and measures of results, review time and cost.

Why it matters

Enterprise learning teams can spend months piloting AI without generating evidence that supports a scale, stop or redesign decision.

Recommended action

PILOT — require every learning-AI experiment to state the decision it will support and the evidence threshold needed to change that decision.

Now4 sourcesSources checked

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Governance framework · Evidence C

How should learning teams evaluate AI-generated content?

Keep the approved sources, a named reviewer and accuracy and accessibility checks with generated learning content. Record the publication decision and when a source change requires another review.

Why it matters

The cost of creating a first draft is falling faster than the cost of assuring that the draft is accurate, accessible, current and appropriate for the intended audience.

Recommended action

ACT — introduce a lightweight generated-content assurance standard before enabling broad self-service AI authoring.

Now2 sourcesSources checked

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Published intelligence remains source-linked, confidence-labelled and independent of vendor payment.Evidence policy