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Topdesk AI Governance Cockpit

Design Power BI governance cockpits for TOPdesk AI/KI features. Use for AI monitoring datasets, semantic models, DAX measures, report pages, prompt/model version tracking, suggestion acceptance, override reasons, confidence drift, cost, token usage, SLA impact, PII/policy findings, feedback loops, evaluation results, RLS, and audit reporting.

rweisssieker-xp Updated
AI & ML

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TOPdesk AI Governance Cockpit

Use this skill when AI/KI usage needs measurable governance, operational monitoring, and executive reporting.

Workflow

  1. Define monitoring grain: suggestion, prompt run, feedback event, evaluation run, source chunk, or cost event.
  2. Model facts and dimensions for Power BI: AI suggestions, prompt runs, feedback, evaluations, embeddings/source chunks, costs, users, dates, branches, feature type.
  3. Add DAX measures for adoption, quality, risk, cost, and business impact.
  4. Design pages: executive governance, operator adoption, quality/evals, cost, risk/compliance, feature drill-through.
  5. Apply RLS and PII minimization before exposing examples or prompts.
  6. Define refresh, retention, anomaly alerts, and release gates.

References

  • Load references/governance-cockpit-model.md for model and report architecture.
  • Load references/governance-kpis.md for KPI definitions and DAX guidance.

Assets

  • Use assets/governance-cockpit-spec-template.md.
  • Use assets/ai-governance-measures.dax.
  • Use assets/ai-governance-theme.json.

Scripts

  • Use scripts/new_governance_cockpit_spec.py to generate a cockpit spec.

rweisssieker-xp/topdeskskill-codex/tree/main/skills/topdesk-ai-governance-cockpit commit 74d7ecd61a

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npx skillmds@latest add rweisssieker-xp/topdesk-ai-governance-cockpit