AI Governance Dashboard for CH

CH-specific obligations covered

The output is anchored on the regulations that apply to AI deployments in CH. The top frameworks cited:

• revFADP — Revised Federal Act on Data Protection (revFADP, SR 235.1), in force 1 September 2023legislation · In force

  Article 6 — Principles for data processing • Article 5(c) — Sensitive personal data (includes health, biometric data) • Article 21 — Automated individual decisions (right to request human review) • Article 22 — Data protection impact assessment

• Swiss MedDO — Swiss Medical Devices Ordinance (MedDO, SR 812.213)legislation · In force

  Healthcare — Switzerland uses mutual recognition with EU MDR/IVDR via MRA. Post-2024 CE marking is not automatically valid in Switzerland for new devices.

• FINMA Circular 2023/1 — Operational Risks and Resilience — Banks (RS 2023/1)regulatory_circular · In force

  FINMA-supervised institutions must identify, assess, and manage AI and ML model risks as part of their operational risk framework; maintain independent model validation processes; ensure board-level accountability for technology risks; and demonstrate adequate controls over AI systems used in credit decisions, trading, and customer-facing services.

• Federal Act on Financial Services (FinSA, SR 950.1)federal_legislation · In force

  Financial service providers using AI for client advisory, portfolio management, or investment recommendations must conduct a client suitability and appropriateness assessment, ensure AI-generated advice is explainable to clients, maintain adequate documentation of algorithmic decision logic, and provide clients with a key information document where required.

How the AI Governance Dashboard approaches this

You describe your organisation — jurisdiction, industry, staff size, risk appetite, AI tools currently in use — and answer an 8-question self-assessment covering Structure (governance body + RACI), Foundations (AI tool register + AI usage policy), Operational (KPI tracking + training programme), and Assurance (board reporting + policy/audit schedule). The tool produces a complete, structured governance programme tailored to that context, sized to your maturity stage, and ready for board / leadership review.

The Executive Summary Word document is a one-page sign-off artefact for board / exec review with three visual charts. The PowerPoint board pack is a 7-slide deck designed to drop straight into your next leadership meeting deck without modification. The Excel workbook is the working operational instrument that lives with the AI Governance Champion: assign owners on the RACI sheet, track 90-day roadmap actions, set Current Baseline values on the 12 KPIs, populate the quarterly Board Report template, and watch the live Dashboard radar + doughnut refresh as you make progress. All three artefacts are AI-assisted drafting aids intended to accelerate review by qualified governance, compliance, and sector-regulatory practitioners — not replace them.

What you get

• ✓ Three artefacts, three jobs: Executive Summary (.docx) for sign-off, Board Pack (.pptx) for the next leadership meeting, Operational Workbook (.xlsx) for the AI Governance Champion — same governance programme, same source of truth, no fragmentation across tools.
• ✓ Live-formula Dashboard with native Excel radar (governance maturity by domain) + doughnut (overall completion %) — toggling a Status cell anywhere in the Roadmap or KPI Dashboard recomputes both charts without regeneration. The user-edited Intake Answers sheet drives the radar, so the dashboard reflects the customer's self-assessment as it evolves over the programme.
• ✓ Right-sized to your maturity stage: the recommended structure for a 11–50 staff organisation is a single AI Governance Champion, not a full board committee. For 1,000+ staff, the workbook recommends a multi-tier governance structure with board sub-committee, cross-functional working group, and embedded champions — sized to what your organisation can realistically sustain.
• ✓ Anchored to recognised governance standards across all 10 sheets: NIST AI RMF GOVERN-1.x and MEASURE-1.x function tiers, ISO/IEC 42001:2023 Clauses 5–9 (leadership / planning / support / operation / performance evaluation), with sector-specific regulator overlays (FCA Consumer Duty, ICO accountability principle, EU AI Act Art. 4 AI literacy, FDA Good Machine Learning Practice, NYDFS Cybersecurity Regulation 23 NYCRR 500.16, and others as applicable to your jurisdiction × industry).

Ready to generate?

$59 · one-time — answer a 6-question intake (including jurisdiction = CH), and download your tailored document immediately.

Also available framed for your sector → see industry-specific pages