AI Governance

What Is Governed AI — and Why CX Teams Need It

Trust is an architecture, not a disclaimer.

Sofia KellerCompliance Lead, InsightNarrator3 June 20269 min read

How knowledge packs, human-in-the-loop approval and confidence scoring make AI trustworthy enough for business decisions.

Ungoverned analysis fails quietly

A model that invents a category does not throw an error. It produces a plausible chart. Governance is what makes failure visible.

Three controls that carry most of the weight

A versioned knowledge pack defining the concepts and taxonomy
Human approval before an analysis plan runs
Confidence scores and QA on every output

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Key takeaways

Version your definitions or your trends are noise.
Approval gates cost minutes and save quarters.

About the author

Sofia Keller

Compliance Lead, InsightNarrator

Advises European CX teams on GDPR, transfer impact assessments and hosting architecture. Based in Zurich.

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