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Ensure AI governance success.

Saidot helps you navigate through your AI governance journey and nail it.

Get started with Saidot
1 Amsterdam
1 Deloitte
1 GIZ
1 Helsinki
1 Scottish Government
1 Terveystalo
2 Amsterdam Copy
2 Barona
2 Elise
2 Evrmore
2 GIZ Copy
2 Helsinki Copy
2 IEEE
2 Intelligent machines
2 Terveystalo Copy
3 Amsterdam Copy 2
3 Barona Copy 2
3 Deloitte Copy
3 Evrmore Copy
3 Helsinki Copy 2
3 IEEE Copy
3 Intelligent machines Copy
3 Scottish Government Copy 2
3 Terveystalo Copy 2
Services

What kind of onboarding services does Saidot provide for customers?

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.

What are the success factors in AI governance?

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:

Embed AI governance.

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.

Make AI governance faster.

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.

Rely on up-to-date knowledge.

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​.

Make AI governance a priority.

Treat AI governance as an operational every-day practice that requires continuous piloting, learning and optimisation.

How does Saidot support you on your AI governance journey?

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.​

How to create an AI policy

Design working model

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

Pilot in practice

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 to succeed

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

Build competence​

Enable effective AI governance operations through trainings and sparring sessions with our AI governance experts.

​Saidot’s training sessions and packages

Training

What kind of training does Saidot offer its customers?

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.

AI governance training package
This three-hour AI Governance training is a short course providing an overview of best practice AI Governance with Saidot. AI Governance means applying systematic processes and ensuring accountability throughout the AI lifecycle to deliver high-quality, responsible AI systems.

Learning objectives:

1. Become familiar with the concept of AI governance and understand its principles and industry standards
2. Understand the phases, processes and objectives of AI governance, such as risk and compliance management
3. Explore the AI system lifecycle model and how to operate AI governance throughout the lifecycle phases with Saidot
4. Learn how to align and embed AI governance practices to existing operations and systems
Contact us for more information
AI literacy training package
This three-hour AI literacy training provides your teams with foundational knowledge on the use of AI, its benefits and risks, and how to apply AI governance to keep AI under control.

Learning objectives:

1. Become familiar with AI: Explore how it is used in the real world, which problems it aims to solve, and which opportunities it leverages
2. Understand the capabilities and benefits of AI, and its limitations and risks
3. Learn about the concept of trustworthy AI and its fundamental components
4. Discover how and why AI is being regulated in the EU, and what AI governance is
Contact us for more information
People

Diverse global team of responsible AI experts

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.

AI governance experts

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.

AI policy and regulation experts

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.

Technical safety experts

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 Lahti, Head of Services and Customer Success at Saidot, The AI Governance Company

Meet Iiris Lahti, our Head of Services and Customer Success.

Iiris can walk you through Saidot’s methodology and how our experts support you along your AI governance journey.

Get in touch
Edla Aittokallio, AI Governance Specialist at Saidot, The AI Governance Company

Quick guide: How to identify,
assess and manage AI risks
throughout the AI lifecycle

Edla Aittokallio, AI Governance Specialist at Saidot

Read blog

Vesna Frings, AI Governance Intern at Saidot, The AI Governance Company

Quick guide: What are the
risks of AI hallucinations,
and how to mitigate them?

Vesna Frings, Junior AI Governance Specialist at Saidot

Read blog

Successful pilot projects

Operating an AI register for citizen transparency in the public sector

Public 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

Saidot x The Scottish Government: AI register
Saidot AI risk management

From AI policy to robust AI governance framework

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

Piloting AI governance at a global financial services company

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

Saidot AI policies
Saidot AI risk management

Implementing robust AI governance model and AI inventory in media

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

Here's what customers think about Saidot...

"The AI risk management session during our pilot project was a success!"

"It was so enjoyable listening to your training because we can always trust that your methods and product features aligns so well with the EU AI Act and the standards."

"The Saidot team really understands our company culture and how to build a model that is effective and easy to deploy to practice.​"

"After using the Library, it is hard to imagine how we could keep ourselves up to date and gain all this knowledge without it.​"

"Building and deploying organisation-wide AI governance model sounded first like an impossible mission, but not when you are helping us.​"

"How could we even know what AI related risks there are if we didn’t have these risk recommendations?"

"I just love listening to your trainings! ​We can always trust that your methodology and product is aligned with the leading standards and industry best practices."

"Your team really understands our unique culture and challenges and how to fit the AI governance best practices to our environment.​"

"The sparring sessions are always so helpful in understanding AI-related risks and regulation.​"

"This might be the first time we are able to operationalise risk management to an every-day practice with clear responsibilities and working models.​"

"Your methodology just makes sense and aligns so well with our existing risk management practices.​"

"Your AI Act expertise is probably one of the highest in the world. Thank you for helping us understand and navigate the regulatory requirements.​"

Frequently asked questions

What kind of onboarding services would Saidot recommend for new customers?

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. 

Check out our pricing.

What are Saidot's AI governance methods based on?

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:

  • Making AI governance work as effective and easy as possible with our extensive Saidot Library knowledge base and governance platform with concrete step-by-step guidelines and recommendation features
  • Creating a safe space for AI innovations and thus better business performance, compliance and wellbeing​ by increasing the understanding of the AI regulation, risks and limitations
  • Allowing the AI teams to focus on the governance tasks that are relevant for a given phase in the AI system lifecycle.
  • Helping our customers identify the risks that are the most important to pay attention to, avoid over-mitigating risks and focus on mitigating the relevant ones for your AI systems.
  • Supporting effective collaboration around AI governance, enabling cross-functional communication, following up progress and doing the best effort with the knowledge available at the time

How quickly do Saidot's typical customers get started with using the platform?

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.

Who should be taking part in a pilot project from our organisation?

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.

For how long does a typical pilot project last?

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.

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