Saidot helps you navigate through your AI governance journey and nail it.
Get started with Saidot
We help your business, technical and compliance teams to understand, pilot and operate AI governance effectively and with high quality. Our common target is to enable responsible AI innovations, prove your compliance and boost your AI time-to-market.
How to get started? You can choose the level of support based on your needs, whether you’d like to start by exploring the free trial, onboard your team to Saidot as a self-service or through a facilitated pilot with our AI governance experts.
AI governance journeys can take different forms, but Saidot's experiences can be summarised to four success factors our team has learned with our customers:
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Integrate AI governance into existing functions and processes, including AI development, legal and compliance and risk management, with clear responsibilities and cross-functional collaboration models.
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Set your AI governance targets to enable responsible AI innovations and faster AI time-to-market with tools that support agility, collaboration, automation and integrations.
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Boost the effectiveness of your every day AI Governance work with a strong knowledge base that helps you identify, analyse and evaluate relevant policies, risks and models.
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Treat AI governance as an operational every-day practice that requires continuous piloting, learning and optimisation.
AI Governance journeys typically start with creating an AI policy and designing a working model that is being tested in practice with pilots. Based on the pilots, the model is finetuned and then scaled as an organisation-wide process. As AI Governance is a new practice to many organisations, we encourage supporting competence building through trainings and sparring sessions whenever the journey requires a knowledge boost.
Align and embed the AI governance best practices and framework to your organisation and processes and clarify AI governance related roles, responsibilities and targets for smooth deployment.
Learn more about Saidot’s methodology
Start exploring how Saidot enables effective AI governance by creating first AI systems to your AI inventory, managing risks, proving compliance and using our extensive library as a knowledge base all the way.
Learn more about our pilot projects
Scale your tested and validated AI governance model to an organisation-wide practice to gain full coverage and compliance. Measure and optimise AI governance efficiency to boost AI innovation time-to-market.
See what our customers think about us
Enable effective AI governance operations through trainings and sparring sessions with our AI governance experts.
Saidot’s training sessions and packages
We will help you get started with AI governance to give you the information and advice you need to implement industry-leading methodologies. Whether you need full training sessions, framework validation or just a sparring partner, we’ve got you covered.
Our AI governance framework and methodologies offer you a shared governance model across distributed AI teams. We work with you to validate and finetune these processes to ensure alignment with your processes and technologies.
Comprising a range of technical, policy and AI governance experts, Saidot’s interdisciplinary team is enthusiastic about the opportunities for advancement presented by AI and machine learning technology and believes that AI usage can be aligned with human values to be an ethical and trustworthy driver of progress.
Our specialists have been at the forefront of establishing industry best practices for AI governance and transparency. Building on our experience from AI technology, business, and policy spheres, our team can support you in designing and developing successful responsible AI strategies, AI policies and governance frameworks, while building and nurturing the responsible AI culture and skills.
Our policy team holds an in-depth knowledge of the fast-moving AI policy landscape in Europe and beyond. Our AI policy experts have legal education and strong expertise from technology law, human rights, copyright, and industry-specific laws, to name a few. Monitoring the developing policies and translating those into practical requirements and user guidance on our platform, our team can provide you the necessary understanding and proactive insights of the current and future regulative requirements and guide you navigate in the growingly regulated landscape.
Our team of technical AI safety specialists, one of whom has a PhD in risk modeling, come with a deep understanding of foundational generative AI models such as LLMs and experience of evaluating them for performance and safety. Our technical safety experts have background in AI safety and NLP research, designing and implementing evaluations for LLMs, and in building safety systems for effective generative AI risk mitigation.
Iiris can walk you through Saidot’s methodology and how our experts support you along your AI governance journey.
Get in touchPublic sector organisations are facing growing transparency expectations from a wide variety of external stakeholders, such as citizens, civil society groups and academia. Saidot has been collaborating with major public organisations, including The Scottish Government, to invent, build and operate public AI registers. The Scottish Government has been collaborating with Saidot in four key areas:
1. AI inventory creation
2. Ongoing AI governance support
3. Public AI register
4. New feature development collaboration
Many telecommunications companies are now trying to solve the challenges of ensuring responsible and compliant use of AI and establishing robust AI governance framework. In response, this company partnered with Saidot to get help in these critical areas:
1.AI policy design
2. AI governance framework implementation
3. AI inventory and governance pilot
Many financial services companies have the pressure of adopting effective AI governance practices covering all major operations. The challenge is how to scale the legal and technical AI governance support to all operations and AI system development projects. In response, Saidot supported a global financial services company through a practical approach.
1. AI governance pilots for 3 selected AI systems
2. Analysis of applicable AI policies and their requirements
3. Knowledge sharing for operating AI governance independently
Enable effective AI governance operations As generative AI has opened new major opportunities for media companies and become increasingly integral to their business processes, many companies face challenges in keeping AI in control. To address the challenge, a media company collaborated with Saidot to kick-start their AI governance journey and provide support in three key areas:
1. AI governance model implementation
2. AI inventory creation and architecture design
3. AI governance pilots
Based on your situation and needs, you can choose to start from the free trial, onboard your team to the platform as a self-service or get facilitation support from our AI governance experts to pilot the platform in your context.
After free trial or facilitated pilot project, we can also support our customers in aligning the AI governance best practices to existing corporate processes, scaling AI governance related skills with our training portfolio or deploying the platform to a corporate-wide use.
Our methods are based on extensive understanding and research on industry leading standards and policies, Our methodology is based on extensive experience and leading AI standards, such as ISO/IEC 22989, ISO/IEC 23894, ISO/IEC 42001, NIST RMF.
Our platform and methodology aim at:
In a typical AI governance pilot, we organise an session for the AI teams and other AI governance stakeholders to guide them how the platform works and introducing the basic methodology.
The user interface for registering the system and starting risk management is very intuitive and the AI teams are typically ready to start exploring the AI inventory creation immediately. With the help of our knowledge base, our customers can also get started with the platform independently with great success rate.
Typically the pilot project is led either by the one leading AI governance and responsible AI operations or, in case such a stakeholder is missing, the CDO, Head of AI, or even in some cases the business stakeholder who has responsibility of governing concrete AI systems.
Pilot projects also involve a stakeholder from the legal and compliance team, especially when piloting the governance of high risk AI systems. Representation of both technical experts who understand how models work and business stakeholders who understand the context where AI is used is important.
If the pilot project is also used to align AI governance practices with other corporate functions such as risk management, procurement, cyber security or data governance, the recommendation is to include responsible stakeholders from all relevant functions.
Our typical pilot project takes from two to six months, depending on the number of pilot cases, the maturity of the company and level of operational alignment is needed. The most typical and recommended pilot project is three months.
