Name: Domino AI Governance
Rating: 4.6 (130 reviews)

AI Governance Platform & Tools for Enterprise | Domino.ai

AUTOMATED AI DOCUMENTATION AND AUDIT

Unified AI model registry: Use Domino’s central registry that links each model version to its history, metadata, and dependencies, providing a clear, automated audit trail.
Generate comprehensive documentation: Automatically create self-documenting evidence notebooks, model cards, and tamper-evident audit trails, capturing all necessary metrics, lineage, and validation outputs.
Improve visibility with on-demand reporting: Access complete documentation from the AI model registry to satisfy regulatory inquiries (e.g., EU AI Act, SR 11-7, SR 26-2) and reduce audit preparation time from weeks to minutes.

CENTRALIZED AI POLICY MANAGEMENT

Design and deploy policies visually: Use Domino’s drag-and-drop Policy Builder to shape rules with reusable templates. Governance, data science, and IT teams work in one shared canvas — no redeploy required.
Ensure consistent enforcement: Apply policies across teams and projects — from development to production — using the model registry as the enforcement backbone.
Proactively detect and mitigate risks: Automatically enforce policies for bias, fairness, PII, or any measurable metric — with alerting, validation, and workflow hooks built in.

GOVERNED MODEL LIFECYCLE

Shared workspace, shared context: Data scientists and validators work side by side in the same project — with shared access to code, data, lineage, model artifacts, and policies.
No more handoffs or rebuilds: Skip the spreadsheets, version mismatches, and redundant environments. Everyone sees and works with the exact same policy and model record.
Instant visibility into readiness: Status, risk findings, and approvals live alongside the work — not buried in docs or email threads.

WORKFLOW CONTROL AND REMEDIATION

Collaborate in shared approval workflows: Validators and data scientists resolve findings together — with shared visibility into status, policy checks, and gating logic.
Track findings and enforce resolution: Log unresolved issues, assign owners, and trigger Gated Deployments that block progress until resolution steps are completed.
Support conditional approvals with remediation: Allow releases with known issues only if remediation steps are tracked and completed before full production rollout.

ADAPTIVE AI GOVERNANCE

Adapt quickly, stay compliant: Rapidly adjust AI policies and automatically generate documentation templates to keep pace with evolving regulations, ensuring continuous regulatory readiness.
Seamlessly integrate new requirements: Leverage an extensible platform with a robust AI model registry, easily incorporating new regulations or organizational requirements with minimal disruption.
Customize for your risk appetite: Tailor AI policies, automate checks, and define documentation standards to precisely align with your specific model risk management needs, ensuring long-term, sustainable AI compliance.

GOVERN EXTERNAL MODELS

Govern models: Declare and track policy compliance for data science or ML models.
Tailor governance to each use case: Apply different policies depending on how a model is used — not just how it’s built.
See compliance in one place: Use a single AI inventory to monitor model health, risk posture, and policy adherence across your ecosystem.