Regulated AI Navigator
Turn an AI use case into its EU AI Act risk class, the regulations it triggers, the obligations, the architecture and the evidence you owe — in about two minutes.
Community-curated knowledge graph, peer-reviewed by experts across law, engineering and governance. Every change traceable →
Every regulation in the graph resolves into concrete technical components — through an article obligation, a control objective, a design pattern or an evidence artefact that a component must produce. Pick a regulation to see its technical surface, how each component is derived, and in which of the triggering use cases it is actually part of the required stack. The gap counts show where the graph reaches a component that no use case yet requires — those are open contribution targets, not settled answers. Open the full graph →
Cross-border statutory filing obligations: local tax codes, transfer-pricing and BEPS/Pillar Two reporting. Automated filing agents act in the taxpayer's name, so materiality thresholds, variance escalation and retained computation evidence are the operative controls — the filer remains liable regardless of automation.
Customer-controlled key sovereignty; cascaded encryption independent of the cloud provider.
Computes a probabilistic confidence score for every output and holds the transaction when the score falls below the workflow's regulatory threshold.
AMD SEV / Intel TDX: data protected from the cloud operator even in memory during inference.
Provenance tracking of datasets, features and embeddings; write-time attribution (source, actor, timestamp, confidence).
Rule-driven execution and reconciliation layer that carries out the deterministic steps around probabilistic model output (matching, breaks, exception queues).
HITL escalation queue & review UI ('Human-as-a-Tool': the agent calls the human like any other tool via propose-action objects). Confidence- and risk-threshold routing, SLA timers, structured accept/modify/reject verdicts with digital reviewer signature at gate release — each verdict is itself Art. 14 evidence and feeds the active-learning loop.
Per-client storage boundary for raw payloads, intermediate artefacts and outputs, so no tenant data is co-mingled or reachable across engagements.
Operator stop controls and degraded-mode fallbacks; real-time override (veto) channels for HOTL operation.
Abstraction layer decoupling application logic from model providers: dynamic routing on capability, cost, latency SLA and regulatory constraint (sensitive-data classes pinned to ZDR private/VPC endpoints or on-prem open-weight instances); real-time health monitoring with automatic fallback to secondary endpoints or local fine-tuned models on outage/latency spikes. Discharges resilience duties (DORA-class), prevents provider lock-in, and makes model deprecations a routing-table change instead of a re-architecture. Router decisions are logged into the decision trace — model version per event is an audit-packet field.
DORA-grade continuity: regional redundancy, chaos testing, exit strategies for critical third parties.
Hierarchical trace spans for every sub-task, prompt, retrieved document and API call — the reconstructible decision path for Art. 12/14 and PLD disclosure.
Governed runtime workspace operationalizing Art. 10: traceable lineage for every RAG chunk and training record at execution time, canonical version-controlled business glossary (documents Art. 10(2)(d) baseline assumptions), and continuous data-quality monitoring with threshold alerts and logged remediation for the Art. 10(3) 'error-free and complete' standard.
Every model inference, data interaction and client-facing artefact is bound to an authorised supervising natural person — never to a shared service account. Required for SEC Rule 204-2 attribution, SOX segregation of duties and AI Act Art. 26 deployer oversight records.
Scoring model: jurisdiction (CLOUD Act exposure), zero-data-retention, BYOK support, audit evidence (C5/AIC4/ISO 42001/EN 18286:2026), tenant isolation.
Append-only, hash-chained audit vault (WORM object-lock storage, AES-256 at rest, TLS 1.3 in transit). Guarantees tamper-evidence within the organization's trust domain — which stops your own team, but not an admin who can rebuild the vault. Pair with an external trust anchor and key ceremonies outside the operating team for evidence that holds against the insider scenario.
Authenticated, policy-checked entry point for client payloads; enforces tenant identity, schema validation and rate limits before any data reaches an inference path.