Which model is the AI Compliance Staircase based on?
The staircase builds on Gartner's Analytic Ascendancy Model (2012) with four analytics stages: Descriptive, Diagnostic, Predictive and Prescriptive. With each stage, business value rises — and the share of decision-making shifts step by step from human to machine. That shifting share of decision-making is precisely the regulatory lever.
Our observation: As autonomy increases, governance effort typically grows. The analytics stages follow Gartner; the compliance mapping is an original format by Mag. Eiler & Partner OG. The staircase is a maturity and orientation model, not a legal classification: whether a system is high-risk AI is determined by its intended purpose, the role (provider or deployer), the Annex III category and the exemptions in Art. 6(3) – not by the degree of autonomy. A recommendation system with a human final decision can be high-risk AI; an autonomous workflow need not be. The points listed per stage should therefore be read separately as statutory obligations, voluntary standards (such as ISO/IEC 42001) and governance recommendations.
Stage 1 — Descriptive: "What happened?"
Reports and dashboards are usually not yet an AI system under the AI Act; GDPR, BCBS 239-style data quality and NIS2/DORA basics apply.
- Typical systems: Reports & BI dashboards — regulatory reporting, Power BI/Fabric dashboards, portfolio/claims reports.
- Obligations: usually not yet an AI system within the meaning of Art. 3 AI Act; GDPR principles, data quality (BCBS 239 logic), NIS2/DORA baseline hygiene.
- Key question: Is your data foundation robust enough to build models on later?
Stage 2 — Diagnostic: "Why did it happen?"
Chatbots and Copilot trigger AI literacy under Art. 4 (since 2 February 2025) and labelling under Art. 50 (since 2 August 2026).
- Typical systems: AI assistants and chatbots (internal/customer-facing), Copilot use, RAG over internal documents.
- Obligations: Art. 50 AI Act (since 2 Aug 2026, NOT postponed by the Digital Omnibus) — disclosure of AI interaction; Art. 4 AI Act (since 2 Feb 2025) — AI literacy; shadow-AI inventory; GDPR for customer data in context.
- Key question: Do users know they are talking to an AI — and what its limits are?
Stage 3 — Predictive: "What will happen?"
Scoring and forecasting need validation governance and an Annex III check per use case; high-risk duties apply from 2 December 2027.
- Typical systems: Scoring, fraud detection, churn/claims forecasting, self-service analytics.
- Obligations: Validation governance (model risk, method logging, drift monitoring); Annex III assessment per use case — creditworthiness assessment and life/health insurance pricing are explicitly high-risk (Annex III No. 5); document the classification decision per use case (a duty for providers under Art. 6(4), a governance recommendation for deployers); high-risk obligations from 2 Dec 2027; ISO/IEC 42001/23894/42005; Art. 10 data governance for high-risk; DORA; works-council involvement for HR-related predictions.
- Key question: Who validates the models — and who detects faulty predictions when business users without statistical training run the analyses?
Stage 4 — Prescriptive: "What should be done?" (autonomous decision)
If classified as high-risk, Art. 9–15, 17 and 26 AI Act apply from 2 December 2027, plus Art. 22 GDPR and possibly a FRIA.
- Typical systems: Automated credit decisions, dynamic underwriting/pricing, automated claims settlement, agentic workflows.
- Obligations (where classified as high-risk): high-risk programme Art. 9–15, 17, 26 (from 2 Dec 2027), insofar as the specific system is actually high-risk AI under Art. 6 and Annex III; Art. 14 — human oversight by design, with express safeguards against automation bias (para. 4 lit. b); Art. 22 GDPR (automated individual decision-making); FMA model-governance expectations; management liability (Sec. 84 Austrian Stock Corporation Act / Sec. 39 Austrian Banking Act); FRIA where applicable (Art. 27).
- Key question: Is human oversight effectively designed and evidenced — or merely asserted on paper?
Why is the staircase also a timeline?
The immediate obligations of the lower stages already apply: Art. 4 since 2 February 2025, Art. 50 since 2 August 2026. The high-risk obligations for Annex III systems apply from 2 Dec 2027 — regardless of the stage on which a high-risk system sits. The staircase orders the sequence of topics; the legal classification determines the scope.
| Date | What applies | Staircase context |
|---|---|---|
| 2 February 2025 | Art. 4 AI Act (AI literacy), prohibition of certain AI practices | Immediate obligation from stage 2 — already applies. |
| 2 August 2026 | Art. 50 AI Act (disclosure of AI interaction), enforcement of Art. 4 | Immediate obligation of stage 2 — NOT postponed by the Digital Omnibus. |
| 2 December 2027 | High-risk obligations under Annex III (Art. 9–15, 17, 26) | Programme obligations for high-risk systems — typically, but not only, on stages 3–4. |
Stages 1–2: immediate obligations already apply (2025/2026). Stages 3–4: high-risk programme from 2 Dec 2027, provided the legal classification is high-risk. The staircase orders the sequence; the classification determines the scope.
The Digital Omnibus on AI was published as Regulation (EU) 2026/1744 in the Official Journal on 24 July 2026 and has been in force since 27 July 2026. For classification at stages 3 and 4, the European Commission published draft guidelines on Art. 6 on 19 May 2026 (consultation extended until 23 July 2026); the Commission plans to adopt the final version by the end of 2026, and on its dedicated page the text was still listed as a draft on 20 October 2026.
Which stage is your institution on?
Answer a few questions on deployment and compliance coverage — you receive your position on the staircase, your compliance gap and the obligations that apply next.
