A complete explanation of what AMIVADIS is, how the score is calculated, how it differs from ISO 42001 and NIST AI RMF, and why it was designed for boards and PE investors rather than technical teams.
AMIVADIS (AI Maturity Index by Plansix) is the first rated AI governance standard designed specifically for board-level oversight, PE due diligence, and corporate group governance reporting. It produces a single composite score from 0 to 100, assigned to one of five rating bands — Foundation, Bronze, Silver, Gold, or Platinum — based on a structured assessment across nine governance, execution, and strategic dimensions. Four dimensions carry article-level anchors in the EU AI Act. The assessment is free, requires no login, and completes in approximately 20 minutes.
Boards and PE investors have been in an uncomfortable position since the EU AI Act came into force in 2024. They are legally accountable for AI governance oversight — Article 4, legally binding as of February 2025, requires organisations to ensure all staff working with AI systems have sufficient AI literacy for their role. Yet no standard instrument exists to tell a supervisory board whether the organisation's AI governance is strong, weak, or merely claimed.
ISO 42001 and NIST AI RMF are implementation frameworks — they define what an AI management system should contain. They do not produce a score. A board member cannot take an ISO 42001 gap assessment into a governance review and ask: "Are we in the top quartile? Are we better than last year? What would an acquirer or regulator see?" Without a comparable, scored standard, AI governance at board level remains a narrative exercise.
AMIVADIS was built to close that gap. It is the measurement layer that sits above the implementation frameworks — designed for the audience that must ask governance questions, not the technical teams that must answer implementation ones.
The precedent is ESG. ESG governance had no common measurement standard for years — ratings only emerged when a common framework made cross-company comparison possible, and procurement mandates followed. The AI governance equivalent of that moment is now. The window to establish the standard before large consulting firms or regulatory bodies fill the gap is approximately 12–18 months from mid-2026.
AMIVADIS measures AI maturity across nine dimensions, covering the full scope of an organisation's AI program — from board strategy through to financial impact measurement. The dimensions and their weights:
Each of the 54 questions is categorised by the type of evidence it requires. This is AMIVADIS's most important methodological distinction: proof is rewarded over declaration.
A company that has approved an AI governance policy scores less than a company that has implemented it and can demonstrate measurable outcomes. This prevents gaming through policy adoption without operational follow-through.
To prevent selective excellence — scoring high in easy dimensions while governance foundations are weak — AMIVADIS enforces minimum dimension scores at Silver, Gold, and Platinum bands. The composite score alone is not sufficient: all floor rules must pass.
AMIVADIS does not compete with ISO 42001 or NIST AI RMF — it complements them. These frameworks define how to build an AI management system; AMIVADIS measures how mature it is and communicates that maturity in a format usable by a board member or investor.
| Dimension | AMIVADIS | ISO 42001:2023 | NIST AI RMF 1.0 |
|---|---|---|---|
| Produces a score / rating | Yes — 0 to 100, five bands | No — pass/fail compliance | No — tiered maturity only |
| Designed for board audience | Yes — primary audience | Partial — primarily technical | Partial — primarily technical |
| EU AI Act article-level mapping | Yes — 4 dimensions mapped to specific Articles | Partial — general alignment | No |
| Free, no login, browser-based | Yes | No — certification process | Framework only (free), tools vary |
| PE portfolio / M&A use case | Yes — portfolio dashboard included | No | No |
| Comparable across companies | Yes — single score, standardised scale | Not directly | Not directly |
| Evidence weighting (P-A-R) | Yes — proof weighted above declaration | No | No |
| Completion time | ~20 minutes (self-assessed) | Months (certification process) | Weeks (gap assessment) |
Companies pursuing ISO 42001 certification typically score in the Silver to Gold band on AMIVADIS. The two are not in conflict — ISO 42001 provides the implementation architecture; AMIVADIS provides the measurement instrument and the governance communication layer above it.
The annual AI governance review is the primary use case. The AMIVADIS score replaces narrative status updates — "we are making good progress on AI governance" — with a comparable, challengeable number. Board members can benchmark against the previous year, set target bands for the next review cycle, and hold management accountable for measurable improvement. The dimension-level breakdown maps directly to EU AI Act oversight obligations, making it usable as a governance record.
PE firms use AMIVADIS to baseline an entire portfolio's AI maturity in a single session — each portfolio company completes the assessment independently and exports a JSON file. The AMIVADIS Portfolio Dashboard aggregates all files into a comparative view: per-company scores, dimension heat maps, band distribution, and quarterly trend tracking. Target band setting per company can be aligned with the value creation plan and exit timeline. For acquisition due diligence, the assessment screens a target's AI governance posture in 20 minutes before investing in deeper technical due diligence.
Corporate groups use the Group Dashboard mode to score each subsidiary or business unit and consolidate at group HQ level. The output is a group AI maturity heat map suitable for presentation in the annual board AI governance report. Groups can also use AMIVADIS as a vendor qualification instrument — requiring key AI vendors to complete and share their AMIVADIS assessment as part of procurement governance.
AMIVADIS was developed by Dr. Christian Schlögel at Plansix GmbH, through the Board-Agents platform — an AI-first board intelligence system for supervisory board mandates across SaaS, Industrial, Hybrid, and Professional Services companies. The methodology emerges directly from active supervisory board work: the questions asked in real governance reviews, the gaps identified when challenging management on AI execution, and the frustration of having no standard instrument to make "how are we doing on AI?" a measurable, auditable question rather than a narrative one.
The AMIVADIS framework is cross-validated against ISO/IEC 42001:2023, NIST AI RMF 1.0, and mapped at the article level to the EU AI Act (Regulation 2024/1689). The full methodology — including the P-A-R weighting rationale, floor rule derivation, dimension weight justification, and regulatory crosswalk — is published in the Methodology Brief, available for independent review.
The intellectual premise is simple: a governance standard built by someone who has sat in the board chair asking governance questions will produce better governance questions than one assembled by a framework committee working from first principles. The unfair advantage of practitioner provenance is the one advantage that cannot be copied by a fast-follower.
Free. No login. 20 minutes. Your answers never leave your browser. Results ready to present to your board or PE sponsor today.