Saidot AI Governance

A new level of AI governance and risk management

Spot and fix AI risks early, ensure compliance, and create AI systems you can confidently rely on.

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Faster AI gain, less governance pain

Scale AI confidently without starting governance from scratch.

‍AI teams face a tough challenge: deploying AI responsibly while managing serious risks like hallucinations, inappropriate content, security issues, and IP concerns. These risks stem from the models, data, and the tools they use—and must be addressed before scaling AI across the organisation.

Doing this from scratch is time-consuming. And it’s not a one-time effort: AI governance needs to stay up to date.

That’s why Saidot built a smarter way. Instead of manual documentation, our solution lets you tap into a connected knowledge graph of AI-related information. Just link your existing assets like AI model deployments or AI products in use, and Saidot helps you manage the related AI risks.

Saidot's end-to-end AI governance platform

Saidot is a SaaS platform for AI, risk, and compliance teams to do governance in one place—linking our library of AI policies, risks, models, evaluations, and third-party products with your AI portfolio. With Saidot, you can identify, quantify and manage your AI-related risks, and prove your compliance.

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Introducing Saidot Integrated Evaluations for Microsoft Azure AI Foundry

Revealed at this year's Microsoft Build in Seattle, this new integration helps your AI teams quantify the likelihood of technical risks in your AI use cases. It enables an easy execution of relevant AI model risk evaluations, seamlessly connecting technical assessments to governance and compliance workflows.
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With this integration, organisations can:
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• Automatically generate evaluation plans matched to the specific context and use case of their AI systems.
• Easily activate or dismiss suggested plans and generate Notebooks for evaluation execution in Azure.
• Simulate datasets for evaluations using Azure’s dataset generation tools.
• View and manage evaluation results directly within Saidot, linking technical findings to ongoing risk and compliance processes.

Learn more in our blog

Key benefits

AI inventory: All information in one place

Create a comprehensive inventory of your AI systems using our knowledge base and integrations.

Risk management: Spot and fix issues early

Identify and evaluate relevant AI risks, and implement controls to ensure safe scaling of AI.

Compliance: Prove you're playing by the rules

Understand, implement and document regulatory requirements for AI systems, e.g. the EU AI Act.

Integrations: Unify AI-related workflows

Connect governance and development workflows with the Microsoft Azure AI Foundry integration.

Saidot Library: Stay up to date on AI

Track evolving regulations, risks, models, and third-party AI product updates relevant to your AI systems.

Knowledge Graph: Never start from scratch

Enable proactive AI risk and compliance management with dynamic insights and tailored best practices.

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The philosophy behind our product

High-quality AI governance is built on always up-to-date knowledge.

Changes in the field are hard to keep up with, which means you have no time to start AI governance from scratch. That's why we built a tool that has the latest knowledge you need to make AI governance easier, more efficient and up to date.

AI product and business teams should be in the centre of AI governance.

They should be accountable for the impact of AI. However, AI governance requires cross-functional collaboration. With Saidot, you can bring all your expertise together, support systematic processes, and integrate with development environments.

Evaluating AI is crucial to understand its performance and risks.

Just like in any natural sciences, we need to run tests to verify how models perform and behave. Saidot has the widest collection of methods for you to regularly evaluate your AI's safety and performance. We also run evaluations to keep you updated on major changes.

Organisations should be transparent about their use of AI.

You don't need to share your business secrets but should be open about how your AI affects users, customers, and other stakeholders around you. Saidot enables you to easily publish transparency reports directly from your documentation, avoiding double work.

Saidot methodology

AI Governance Handbook

Using our handbook, you'll navigate AI with confidence to build trust, manage risks, ensure compliance, and unlock AI's full potential in a responsible way.

Who is Saidot for?

AI teams

Embed AI governance into every step of the AI system lifecycle. Understand regulatory requirements, align implementation accordingly, and manage risks proactively. Evaluate model risks for your use case and ensure your systems are ready to scale—safely and responsibly.

Legal, compliance, risk, and sourcing teams

AI brings fast-moving risks that are hard to track—especially without daily exposure. And it’s not just about the tech; how AI is used matters just as much. Saidot helps legal, compliance, risk, and sourcing teams work with AI teams to identify relevant risks, define mitigations, and keep AI compliant and under control.

Saidot AI governance platform risk management

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“By integrating Azure AI with Saidot’s innovative AI governance platform, we’re empowering our customers to achieve greater cross-functional collaboration and enabling them to align their AI solutions with their own principles and regulatory requirements.”

Sarah Bird, CPO, Responsible AI at Microsoft

Read full blog

Why organisations love Saidot

"Easy and intuitive to use, good that can edit all the steps of the way. Using the library information is great."

–Human Resources, UK

"Probably the most compelling product I've seen, something that is practical and useful, the only product that covers the full end-to-end process."

–Financial services, United States

"Unique components that are rarely found together in one tool: Risks, policies, evaluations, models, datasets."

–Media, Finland

"I think it's a great source of information for anyone planning to scale the use of AI in their organisation."

–Human Resources, Finland

“Information about general risks of foundation models serves as a basis for a more detailed model evaluation.”