Top 5 AI Governance software

BI & Data Science Analyst at 10 Senses

Currently, we live in an era dominated by Artificial Intelligence (AI).

Every day we are surrounded by AI technologies: virtual assistants, personalized content recommendations on Netflix or Prime Video, fraud detection systems in the banking industry, navigation applications, task automation in manufacturing, generative AI (ChatGPT or Bard), and many more.

The list above is just the beginning when it comes to the possibilities of Artificial Intelligence. In fact, the number and versatility of AI applications will be growing as more and more businesses invest in AI.

According to Markets and Markets, the AI industry will grow to a $190 billion industry by 2025. What is more, according to IDC, 90% of commercial enterprise apps will use AI by 2025.

As a result, the role of AI is and will be growing at an accelerating pace. Nevertheless, the development of AI concerns not only employees, who fear losing their jobs, but also business leaders. They are concerned about:

  • According to Gartner, 85% of AI projects will deliver erroneous outcomes due to bias in data, algorithms, or the teams responsible for managing them,
  • The EU AI Act will come into force by 2025, and they need to choose an appropriate AI governance tool to assist them in delivering responsible and ethical AI.

What is AI governance?

Artificial Intelligence governance is the legal framework that is needed to ensure that AI and Machine Learning (ML) technologies are researched and developed in a way that helps organizations worldwide adopt such systems in ethical and responsible ways. As a result, the AI governance framework’s goal is to close the gap between accountability and ethics in the development and use of AI.

Due to rising concerns about Artificial Intelligence (AI) development, the popularity of AI governance frameworks is growing as well.

Based on Google trends data (15/10/2023)

What are AI governance practices about?

The main areas of focus for Artificial Intelligence governance are those related to justice, data quality, and autonomy. AI governance determines how much of a daily-life AI algorithm can shape and who monitors the work of these algorithms. Some of the key concerns AI governance addresses are:

  • AI ethics, safety, and societal implications,
  • Legal and institutional structures for the use of AI and AI technology,
  • Rules around access and control of personal data,
  • Moral and ethical questions related to AI,
  • Sectors that can be AI-automated.

As you can see, AI governance adoption in businesses ensures that AI systems are safe, transparent, and compliant with legal requirements. While these principles behind AI software development have always been crucial, the impending EU AI Act emphasizes their significance even further.

Why do businesses need AI governance platforms?

Being packed with useful features, a powerful AI governance tool not only increases our capabilities but also enhances efficiency, precision, and safety. These features entail:

  • AI model inventory, assessment, monitoring, auditing,
  • Risk identification and mitigation,
  • Compliance management,
  • Transparency and explainability tools,
  • AI governance workflow automation.

As a result, the AI governance platform provides us with numerous benefits, among them:

  • Enhanced accountability: AI systems operate transparently and are accountable for their actions and decisions,
  • Risk mitigation of potential ethical, legal, and operational risks associated with AI implementation,
  • Regulatory compliance to adhere to evolving AI-specific, standard, and privacy regulations, like the EU AI Act,
  • Trustworthiness of AI applications is increasing public safety,
  • Continuous improvement and monitoring of AI systems, ensuring they are aligned with organizational and societal objectives.

How to choose an AI governance tool?

Before we move on to the AI governance tool comparison itself, let’s start with a short checklist. Going through all the steps below will help you define the goals you want to achieve with this tool and make the final decision.

Step 1: Identifying AI governance needs

When you choose an AI Governance tool, you should first start with the simple question, “Why is AI governance needed in my organization?’. In fact, each company will have slightly different AI governance needs.

Therefore, you should ask yourself:

  • How Artificial Intelligence (AI) is used in your organization?
  • What kind of data are you working with (for example, personal, anonymized, or sensitive)?
  • What AI models are used and how complex are they?
  • What applications will be transferring data to your AI models?
  • At what scale does your organization operate?
  • What is the volume of data being processed?

Going through all these questions will allow you to determine the level of oversight and control you need from the AI governance tool of your choice.

Step 2: Evaluating specific features

The next step is to evaluate and compare the features of different tools for AI governance and compare them with your needs. At this point, you need to ensure that the tool of your choice can address all aspects of AI governance, such as:

  • data security,
  • transparency,
  • explainability, or
  • data privacy.

It is also advisable to take into consideration other useful features like data lineage, monitoring and reporting, alerting, or generating insights. Moreover, all AI governance platforms should be compliant with regulatory requirements.

Step 3: Evaluating customization and integration possibilities

As already mentioned, governing AI across organizations has slightly different needs. Therefore, it is also important to check if the tool of your choice has customization options to match your specific requirements. These features may include adjusting to your existing workflows, implementing internal governance structures, or supporting multiple languages.

Another important point is the seamless integration with your existing data sources, analytics tools, and databases that data professionals, like data engineers or data scientists, use in your organization.

Step 4: Evaluating scalability

Another essential aspect to take into consideration is the scalability and expansion of AI governance software. As a result, it should adjust to increasing data volumes, AI models, and users, meaning it should support future business growth.

Truth be told, scalability evaluation is essential, as it ensures that the solution can grow and adjust to your organization’s evolving needs. Therefore, it should handle with ease increases in data volume, the complexity of AI models, and the number of users without dropping in performance or efficiency.

What is more, scalable AI governance software should not only fulfill current business expectations but also adjust to future expansion, simplifying the integration of new features and technologies.

Step 5: Evaluating the provider comprehensively

Finally, you should assess the provider of the Artificial Intelligence governance of your choice. You need to get a full understanding of their experience in AI governance and technology domains. To do so, you can:

  • conduct due diligence, for example, customer reference checks,
  • provider’s product roadmap assessment,
  • support and maintenance check,
  • pricing model comparison.

It is important to choose a provider that aligns with your values, has a good reputation among their customers, and is known for their transparency, ethics, and collaborative spirit.

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Top 5 AI governance platforms

Credo AI

Credo AI focuses on delivering AI model risk management, AI model governance, and compliance assessments, emphasizing generative AI. They want to make the adoption of AI technologies easier and equip their customers with central control for responsible AI adoption and foster the best practices in AI data governance.

Credo AI empowers users to:

  • Keep control of Artificial Intelligence (AI) by tracking governance accountability, gaining visibility into ungoverned models, and evaluating potential risks and business impacts,
  • Comply with regulations and standards by implementing necessary measures to comply with the impending law and creating custom enterprise policies,
  • Understand and mitigate risk by assessing AI models for bias, security, performance, or explainability,
  • Generate governance artifacts, for example, AI audit reports, risk reports, and AI impact assessments.

Source: Credo AI – Leader in Responsible AI Governance

It is also worth mentioning that Credo AI provides users with tools to get ready for the EU AI Act. With their AI governance platform, they can:

  • Keep up with the EU AI Act, making sure that all Artificial Intelligence systems are compliant,
  • Categorize AI systems to classify them according to categories from the Act (unacceptable, high-risk, limited, or minimal),
  • Form an actionable plan to comply with a readiness assessment.

Credo AI also promises seamless integration with all AI systems and tools.

Holistic AI

The company’s vision is to “ensure that AI can be trusted to deliver on its transformative potential for society” (source: Holistic AI).

Holistic AI offers AI governance software, the HAI platform, for AI risk management and auditing to allow their customers to harness Artificial Intelligence (AI) ethically and safely and monitor and evidence AI compliance with changing regulations and standards.

In fact, with their HAI platform, the company offers a wide selection of features. They can be helpful in adopting and executing AI governance policies within organizations:

  • Policy, incident and internal control management,
  • Operational and IT risk management,
  • Disaster recovery,
  • Environmental compliance,
  • Auditing.

A great advantage of Holistic AI is the possibility of streamlining the compliance with the EU AI Act using the HAI platform. As a result, customers don’t have to navigate by themselves through the complexities of regulations but can dedicate their focus to core business objectives and have their compliance checked by the platform.

Source: The HAI Platform | Holistic AI


Anch.AI is another effective AI governance software that can serve as a control center for companies seeking responsible and effective AI governance framework adoption.

The Anch.AI platform entails a suite of services. They involve managing compliance, assessing risk, and delivering responsible AI solutions, such as assessment, audit, risk mitigation, or reporting tools.

The platform is built upon a few capabilities to govern AI ethical and legal risks:

  • A comprehensive view of AI works by through continuous screening of AI solutions for bias, root causes, accountable roles, and vulnerabilities towards responsible AI requirements,
  • Risk mitigation based on individual risk exposure,
  • Auditing to validate risk reduction progress on your ethical AI performance,
  • Reporting capabilities.

In view of the EU AI Act, the Anch.AI platform equips users with a quick and easy assessment to gauge the risk level of any AI use case at any stage of development with their EU AI Act HealthCheck feature. What is more, they offer EU Act Deep-Dive. It is a detailed assessment of how far certain requirements set in the draft regulations are being met and recommendations if some of them are not.

All in all, the Anch.AI platform empowers users to screen specific AI solutions for ethical pitfalls or entire businesses for ethical AI risk exposure, leverage mitigation tools, audit, and report on ethical AI performance.

Source: The anch.AI Platform | anch.AI – The Ethical AI Platform

It is also worth mentioning that the company offers awareness workshops with an introduction to the upcoming EU AI Act and the risks for businesses, as well as AI audits carried out by anch.AI team.


Monitaur is another powerful platform for AI governance that equips users with model monitoring for effective AI governance.

Source: Model governance software for AI (

Monitaur offers AI governance software with their Monitaur ML Assurance platform. It is a SaaS suite of integrated products designed for businesses that use Artificial Intelligence and Machine Learning algorithms in their decision-making processes. Companies can take advantage of this tool to drive policies, improve collaboration, and improve oversight.

As a result, Monitaur empowers users to:

  • Create a scalable AI model governance program,
  • Proactively identify and address risks before they impact business,
  • Continuously track and record real-time AI algorithms,
  • Build confidence in the validity and trustworthiness of AI models,
  • Generate evidence of responsible AI by using elements of AI models, pipelines, and technical documentation.

With Monitaur, businesses can implement responsible and ethical AI governance from policy to proof, both for internal and external key stakeholders. As a result, this software is also powerful for fostering AI system transparency within an organization and creating an AI governance framework.

Fairly AI

Fairly AI is another powerful AI Governance software. It allows you to monitor, govern, and audit models to reduce risk and improve compliance with regulations.

The AI data governance software’s key capabilities are:

  • Simplicity of usage by automatically mapping regulations and policies to Fairly platforms to monitor AI models for compliance,
  • Real-time instantaneous reports and audits,
  • Fostering collaboration by facilitating cross-collaboration across policy, compliance, risk, and data science,
  • Minimizing cross-team frictions by offering parallel governance features,
  • Better control, automated oversight for AI model development against certain standards,
  • Mitigating compliance risk and time savings on AI audits and testing.

Source: Fairly AI | AI Governance, Risk and Compliance Management Platform for AI

The company emphasizes their capabilities to facilitate safe and compliant AI adoption within organizations, supporting transparency and risk protection of AI systems.

AI governance addresses the concerns of people and business leaders

All in all, in an era dominated by Artificial Intelligence (AI) and the use of AI technologies with the upcoming EU AI Act, the question of AI governance practices has taken center stage. As these advanced systems intertwine with every facet of our lives from healthcare and finance to transportation and entertainment, ensuring their ethical, transparent, and accountable operation is more important than ever.

As a result, AI governance platforms have emerged. They have become indispensable tools for many organizations, bridging the gap between the rapid progression of AI technology and the collective quest for adopting responsible AI strategies. With their powerful capabilities, they can not only help organizations be compliant with European regulations but also develop AI systems that are transparent, safe, and ethical.

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