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Watch on-demand demoTurn your organisation's own AI policy into actionable controls — automatically.
Most AI governance work doesn't fail because of a lack of an AI policy. It fails because that policy never reaches the AI systems. This means control coverage remains a manual effort that can't keep pace with a growing AI inventory.
With Saidot Control Catalogue, you define controls once, map them to risks, and have them propagate automatically to every AI system in your inventory.
Here's how Saidot Control Catalogue helps you operationalise your own AI policy:
1. It enables you to centralise control management with risk mapping and default evidence specs, turning your AI policy into concrete, actionable controls ready for implementation.
2. It automatically inherits controls to AI systems with mapped risks, assigning new systems the right controls from day one, ensuring consistent coverage across your entire inventory.
3. It connects controls to risks, approval workflows, and risk metrics in one view, giving you full visibility into coverage rates, inheritance, and treatment status across your AI portfolio.
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Create a comprehensive inventory of your in-house and third-party AI systems — our knowledge graph and governance data keep it constantly up to date.
Automatically identify AI risks inherited from models, classification and datasets, quantify and evaluate them, and implement controls to ensure safe scaling of AI.
Understand, implement, document, and stay ahead of regulatory requirements for AI systems, e.g. the EU AI Act with step-by-step templates and evidence reuse.
Streamline governance by linking technical assets, evaluations, and controls with your AI governance workflows and existing GRC tools.
Track updates to evolving regulations, risks, models, evaluations, and third-party AI products — all connected to the systems in your AI inventory.
Link risks, models, policies, and controls to your systems — and get dynamic insights and tailored best practices automatically to manage AI governance efficiently.
Send AI systems, policy reports and classifications for review and conformity assessment, and allow reviewers to complete the review directly on Saidot.
Export an audit-ready transparency report from your AI system documentation, save hours in reporting, and build trust with internal and external stakeholders.
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.
They should be accountable for the impact of AI. However, AI governance requires cross-functional collaboration. With our platform, you can bring all your expertise together, support systematic processes, and integrate with development environments.
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.
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.
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.
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.
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 with less manual work.

Sarah Bird, CPO, Responsible AI at Microsoft
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