What to check before you
buy enterprise AI.
Practical, vendor-neutral guidance on the questions that decide whether an AI deployment clears its first audit. Each guide traces where your data actually flows and what your regulators will expect to see when it does. They are written by the team that builds sovereign AI, and they are meant to be useful whether or not you ever become a customer.
The library is open and free to read.
There is no email gate and no download wall, so every guide is free to read in full. Filter by topic or by the region whose regulators you answer to, and start with the guide that maps to your next audit.
Topic
Region
NIST AI RMF: the playbook US enterprises are measured against — and how to pass it
The NIST AI Risk Management Framework is voluntary on paper and mandatory in practice — here is how US enterprises turn Govern, Map, Measure and Manage into evidence a regulator, court or customer will accept.
Read ComplianceNIS2 and your AI stack: who answers when an agent acts?
NIS2 makes management personally accountable for cybersecurity risk — including the AI agents you are about to deploy. Here is the operational checklist.
Read ComplianceSovereign AI in France: what ANSSI, CNIL and the Cloud de Confiance doctrine expect
France has turned trustworthy AI into published doctrine — ANSSI's generative-AI security recommendations, CNIL's GDPR fiches and the SecNumCloud trusted-cloud standard form a concrete requirements list for any enterprise AI platform.
Read ComplianceUK AI assurance: what NCSC, ICO, DUAA and SS1/23 now expect from enterprise AI
The UK regulates AI through its existing regulators — and since DUAA took effect, "a human clicked approve" no longer counts as oversight. Here is the evidence they expect.
Read ComplianceIndia's DPDP Act and enterprise AI: what MeitY, CERT-In and RBI expect you to prove
India's compliance stack for enterprise AI — the DPDP Act 2023 and its 2025 Rules, CERT-In's six-hour incident clock and RBI's FREE-AI framework — rewards platforms that can prove data residency, evidence and oversight by architecture.
Read ComplianceJapan AI governance: what the AI Promotion Act, METI Guidelines and APPI expect of enterprises
Japan's AI Promotion Act, the METI/MIC AI Guidelines for Business and a tightening APPI form a soft-law stack that still expects enterprises to prove governance, human oversight and domestic data control.
Read ComplianceSingapore AI governance: what IMDA, PDPC and MAS expect enterprises to prove
Singapore's AI governance stack — IMDA's Model AI Governance Framework, AI Verify testing, PDPC's PDPA guidance and MAS FEAT — rewards enterprises whose AI claims are provable, not merely stated.
Read ComplianceAI guardrails in Australia: what the Voluntary AI Safety Standard, Essential Eight and Privacy Act reform mean for enterprise AI
Australia is converging on AI governance from three directions at once — safety guardrails, cyber baselines and privacy reform — and enterprise AI platforms must now prove all three.
Read SovereigntyDigital sovereignty, in numbers: what Bitkom's surveys tell every AI buyer
Half of German companies would be paralyzed by a cloud outage — and four in ten already accept trade-offs for sovereign alternatives. The demand is real; the trade-off doesn't have to be.
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Featured · Sovereignty
Digital sovereignty, in numbers
Half of German companies would be paralyzed by a cloud outage — and four in ten already accept trade-offs for sovereign alternatives. We read Bitkom's surveys so you can turn the demand for digital sovereignty into an architecture, not a slogan.
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Everything here runs as working controls.
The controls these guides describe run live in a standard AANCER install: per-call records, approval gates, append-only logs, and measured compression. Bring your hardest audit question, and we will produce the evidence on your own stack.