Domino Governance

Transform governance into a swift and dependable process

Why AI governance is hard

Governance stalls AI initiatives, turning momentum into complexity

Governance today delays data science and AI initiatives, wastes resources, and leaves too much residual risk. Models take twice as long to validate than build, as validation happens after the fact, requires manual work in bespoke tools, and enterprises take more than a year to comply with a single regulation because of the bespoke approach to governance.

Over 45% anticipate regulatory violations, reputational risks, and delayed innovation due to inadequate AI governance (Domino's REVelate Survey), and 95% of enterprises must replace, re-write, or update their AI governance frameworks and processes for today's AI landscape (BARC Study). Why?

Regulations are unclear

Policies and regulations are often abstract legal documents based on high-level principles, mismatched to the reality of data science or AI work. This makes it impossible to enforce policies.

Governance work is manual

Today, work like model validation uses bespoke and old-fashioned tools such as spreadsheets for each technology or use case. Audits take months to reproduce model lifecycles as new projects while enterprises remain exposed. Data science efforts are sacrificed on model validation and manual audits instead of fueling innovation.

It’s a systematic afterthought

Governance work is systematically bolted onto data science processes, not integrated — model validation lasts months beyond development, impeding innovation and fueling data scientists’ frustration.

PRODUCT PREVIEW

Operationalize responsible AI with Domino Governance

Automate and orchestrate the collection, review, and tracing of materials required to ensure compliance with internal and external policies to mitigate risk and drive more value.

Why Domino Governance?

For risk and compliance managers

  • Define and set policies

    Save time and guarantee compliance by using customizable policy templates or creating custom policies and activating them where AI builders work.

  • Enforce policies and maintain standards

    Simplify enforcement of any internal or external policy with automated scripts that validate policy adherence.

  • Understand context to accelerate reviews

    Receive the context behind AI work and all packaged documentation needed to accelerate reviews and audits.

Governance dashboard

View and monitor compliance

Global visibility with one place to see policies, status of compliance, and open actions across all projects and models. Domino Governance automation reduces the governed model lifecycle by 70%, and shortens the time to comply with new policies from months to weeks.

New Governance Policy

Model lifecycle management

Manage end-to-end governance

Manage all policies, collect, and review all evidence and the context of work, enforce policies with automated scripts, and activate approval processes across the AI lifecycle.

Policy templates

Operationalize all policies

Accelerate compliance with customizable off-the-shelf policy reference templates like MRM, EU AI Act, NIST, or define and build your policies from scratch and embed and enforce policies where builders work for a seamless experience.

Stylized project screenshot

Project Templates

Share best practices and standards

Enforce best practices by incorporating your policies into every project and model with standard checklists, evaluation tools, automated evidence collection, and codified conventions that increase speed and consistency.

Automatic lineage tracking for compliance

Guaranteed reproducibility

Automatic lineage tracking for compliance

Domino tracks all model lineage by automatically versioning code, data, environments, and results for guaranteed reproducibility and compliance. Domino can support GXP-compliant and non-GXP on a single platform.

Model performance & analysis

Model Cards

Review models for deployment

Domino improves transparency by automatically recording models' purposes, lineage, downstream usage, performance, limitations, and biases. This allows teams to evaluate whether models are ready for production, and mitigate risks.

Model Registry

A unified view of all your models

View all of your models with their status, metadata, and evolution (e.g., code, data, parameters, environments, results, versions) for auditability and tracking. Never lose track of your models, whether developed in Domino or not.

Model Staging

Test and evaluate models

Verify that models are tested and evaluated in isolated non-production environments and view all models and their status in a single pane of glass.

Model Monitoring

Track model quality and relevance

Score model accuracy and relevance, detect model drift, automatically capture predictions, and incorporate human validation so models perform as expected for stakeholders.

Access control and audit logging

Ensure data security and compliance

Domino authenticates and authorizes users with credential management, and automatically tracks data lineage so reviewers can see who accessed which data, and when, to confidently approve models for production.

Assess your AI governance maturity now