AI governance built in, not bolted on

Accelerate AI projects with governance that has clear policies, a central model registry, and automated documentation for compliant, risk-managed AI across your enterprise.

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Why Domino: Your enterprise AI governance platform

For data science leaders
For risk, compliance, AI governance leaders
For IT leaders
For AI builders and data scientists

Responsible AI innovation

Accelerate AI delivery and policy enforcement: Empower teams with clear AI policies embedded in workflows, leveraging a central registry for faster, responsible deployments.
Boost productivity and governance: Scale best practices with centralized policy management, self-documenting evidence, and model cards for robust AI compliance.
Ensure AI's value and manage risk: Demonstrate transparent, reliable performance with full model lineage and rapid risk management, all documented in the AI model registry.

AUTOMATED AI DOCUMENTATION AND AUDIT

Automate audit evidence

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) and reduce audit preparation time from weeks to minutes.

CENTRALIZED AI POLICY MANAGEMENT

Policies codified, checked, and enforced

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

Govern where the work actually happens

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

Control how models reach production

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

Future-proof AI compliance

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

Track and enforce policies everywhere

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.

Domino’s governance foundation

The building blocks of responsible, scalable AI operations

Govern every stage of the model lifecycle with shared policies, a central registry, and automated documentation — built into the platform.

Define and enforce AI policies

Data science and risk teams co-author policies in a shared workspace using Policy Builder. Scripted checks enforce those rules automatically before models move forward.