Every Model. Every Version. Every Decision. Governed.
ClarifAI's Model Governance Registry gives every AI model in your enterprise a complete lifecycle record — from development to decommission. Version control, approval workflows, and an immutable audit trail that satisfies any regulator.
The Governance Gap: Models Deployed Without a Paper Trail
Most enterprises cannot answer basic governance questions: Which version of this model is currently in production? Who approved this deployment? When was it last validated? What changed between version 2.1 and 2.3? Without systematic model governance, enterprises are operating regulated AI at scale with no institutional memory — and no defence when an auditor asks.
End-to-End Model Lifecycle Management
From experiment to production to retirement — every stage governed and documented.
Model Registration & Metadata Capture
Every model is registered with structured metadata: use case, training data lineage, feature schema, performance benchmarks, intended deployment scope, and risk classification. Metadata is version-controlled alongside model artefacts.
Approval Workflow & Sign-Off
Configurable multi-stage approval gates: risk team review, compliance sign-off, executive sponsor approval. Each gate has a mandatory checklist, mandatory documentation upload, and a cryptographic sign-off that cannot be forged or deleted.
Production Deployment Tracking
When a model enters production, ClarifAI automatically begins tracking: deployment timestamp, serving endpoint, traffic volume, prediction distributions, and any override decisions. A real-time governance dashboard shows status for every live model.
Immutable Audit Trail
Every action — model update, approval, deployment, alert dismissal, parameter change — is written to an append-only audit log with user identity, timestamp, and cryptographic hash. The log cannot be edited, deleted, or backdated.
Governance Capabilities for Regulated Enterprises
Centralised Model Registry
A single source of truth for every AI model in your organisation — across teams, platforms, and cloud environments. Search, filter, and compare models by use case, risk level, or deployment status.
Approval Workflow Engine
Multi-stage approval gates with configurable reviewers, mandatory checklists, and escalation rules. Built-in integration with Jira and ServiceNow for enterprise workflow management.
Immutable Audit Trail
Cryptographically signed, append-only log of every governance action. Export in formats required by RBI, IRDAI, EU AI Act, and SOC 2 auditors.
Model Cards
Auto-generated model documentation cards covering intended use, performance benchmarks, known limitations, fairness evaluations, and approval history. Shareable with regulators in one click.
Version Control & Comparison
Full version history for every model with side-by-side comparison of performance, drift profiles, and feature importance between any two versions.
Periodic Review Scheduling
Automated reminders and mandatory review triggers at configurable intervals (e.g., quarterly for high-risk models). Escalates to governance committee if review is not completed on time.
How Many Models Are in Your Production Estate?
Most enterprises discover 40% more production models than they knew about during the first ClarifAI audit. Book a discovery session.