ISO 42001-aligned AI governance.
Model inventory, risk classification, evidence packs, monitoring dashboards, incident playbooks, and policy workflows — for enterprises that take AI accountability seriously.
Model Inventory
Every model in production is registered with its purpose, training data provenance, version history, and responsible owner.
Risk Classification
Models are classified by risk level (Critical / High / Medium / Low) based on decision impact, data sensitivity, and autonomy level.
Evidence Packs
Governance documentation — training data cards, evaluation reports, bias assessments — is bundled into evidence packs for each model.
Monitoring Dashboards
Live dashboards track model performance, drift signals, bias indicators, and SLA compliance for every production deployment.
Incident Playbooks
Pre-defined response playbooks for AI incidents — anomaly detected, bias spike, model failure — with escalation paths and SLA timers.
Policy Workflows
Configurable policy gates that enforce your organisation's AI risk tolerances at the system level — before outputs reach users.