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AI Maturity assessment

Building a mature and effective AI program can be a complex and daunting task, especially for those who are just starting their AI journey. The AI Maturity Assessment is a process designed to help organizations evaluate their current AI capabilities, identify gaps and areas for improvement, and develop a roadmap to build a more effective AI program. It is a great way for organizations to gain a clearer understanding of the prerequisites required to be successful with AI and what steps you need to take to advance to the next level. The Maturity Assessment is included in AI Sweden’s partner offering.

AI Maturity Assessment

What does the assessment process help with?

The assessment process provides a comprehensive evaluation of the organization's current AI capabilities and identifies specific areas for improvement. This helps the organization to prioritize its AI initiatives and investments and focus on those areas that will have the greatest impact. Furthermore, the collaborative workshop at the end of the process provides an opportunity for stakeholders from across the organization to come together and coordinate their AI work and co-create a roadmap for advancing the organization's AI capabilities. This helps to build alignment and buy-in across the organization and ensures that AI initiatives are prioritized and implemented effectively.

Main gains of the assessment process

  • Gaining a shared understanding of the organization's current AI maturity, helping to align stakeholders and focus efforts on improvement.
  • Achieve better synchronization and coordination of AI work across functions and departments, resulting in improved efficiency and effectiveness.
  • Receive actionable recommendations and a concrete roadmap for increased AI maturity, based on the organization's unique insights and needs, providing a clear path forward.
  • Promote organizational learning as employees are exposed to key areas and prerequisites for AI maturity, resulting in improved knowledge and skill-building across the organization.

More than just a tool

The AI Maturity Assessment is a three-stage process that consists of assessment, analysis, and workshop.

1. Assessment
The first stage, assessment, involves using the AI Maturity Assessment Tool to conduct a comprehensive evaluation of the organization's current AI capabilities. The evaluation consists of a survey designed to identify the organization's strengths, weaknesses, and areas for improvement in relation to a set of best practices identified through extensive research into successful AI organizations.

2. Analysis
In the second stage, analysis, the results of the assessment are analyzed and interpreted by experts from AI Sweden. This analysis involves identifying key trends, patterns, and insights from the assessment data, as well as benchmarking the organization's AI capabilities against industry best practices and standards.

AI maturity level

3. Workshop
Finally, in the third stage, workshop, the results of the assessment and analysis are presented to a group of stakeholders from the organization in a collaborative workshop setting. The workshop provides an opportunity for participants to discuss and validate the assessment findings, share insights and perspectives, and co-create a roadmap for advancing the organization's AI capabilities. The roadmap outlines specific actions and initiatives that the organization can undertake to improve its AI maturity and advance to the next level of AI maturity.

what is ai maturity

What is AI Maturity?

AI Maturity refers to an organization's level of expertise in using AI technologies and applications. It considers various factors such as an organization's strategy, data infrastructure, technology platforms, talent capabilities, and governance processes, among others.

In simpler terms, AI Maturity is about how much an organization knows about AI and how well they are using it in their operations. An organization's AI Maturity level can be evaluated along a continuum, ranging from basic use of AI to more advanced and integrated use of AI across the organization. This is illustrated below in the AI Maturity Ladder.

An illustration showing the AI maturity ladder from not having started to becoming a shaper

Why is AI Maturity important?

According to research, nine out of ten companies agree that AI represents a business opportunity for them. However, only a few companies are able to realize value using the technology. Seven out of ten companies report minimal or no impact from their AI initiatives so far. Among the 90% of companies that have made some investment in AI, fewer than two out of five report business gains from AI in the past three years.

AI assesment tool survey


Source: S. Ransbotham, S. Khodabandeh, R. Fehling, B. LaFountain, D. Kiron, “Winning With AI,” MIT Sloan Management Review and Boston Consulting Group, October 2019

Why is this?
One of the reasons for this is that companies tend to treat AI as just another technology, but AI has different requirements in terms of development, operation, and maintenance, than other digital technologies, and this presents challenges for those who are entering the field of AI for the first time.

In addition, organizations face organizational, cultural, and knowledge challenges when they start using AI. Creating value with AI therefore requires some level of organizational transformation and new ways of working to truly accommodate the possibilities with this technology.

What can be done?
The assessment process provides valuable insights into an organization's readiness for AI, including their data infrastructure, technology platforms, talent capabilities, and governance processes. By identifying gaps in these areas, organizations can prioritize investments in technology, talent development, and governance structures that support AI adoption and integration.

Moreover, the assessment process encourages organizations to examine their existing culture and identify any obstacles to AI adoption, such as resistance to change, fear of automation, or a lack of data-driven decision-making. By understanding and addressing these cultural challenges, organizations can create a more supportive and collaborative environment for AI innovation and transformation.

Time and effort

Participating in the AI Maturity Assessment process requires a relatively small investment of time and effort from the organization compared to the potential benefits. In terms of hours, the full assessment requires approximately 80 hours of participation, with two individuals attending meetings and around 60 people contributing to the evaluation and around 15 people to the workshop. The time commitment is designed to be manageable and flexible, allowing organizations to make progress at a pace that suits their needs and priorities. The full process, which includes activities such as evaluation and workshop sessions, typically takes around 6 weeks to complete.

AI assesment tool timeline


The AI Maturity Assessment Tool was developed by the AI consulting firm AppliedAI in collaboration with leading AI experts and practitioners. To develop the tool, Applied AI used a rigorous process that included gathering and analyzing data from over a hundred organizations on their capabilities related to AI.

Applied AI has continued to refine the tool based on feedback from clients and the latest trends and insights in the AI field, ensuring that it remains a valuable and effective resource for organizations seeking to improve their AI capabilities and achieve their strategic objectives.


We have also created the AI Maturity Assessment training for those of you who are interested in delving deeper into all aspects of the AI Maturity Assessment process. Have a look over at MyAI.

→ AI Maturity Assessment training

For more information, contact

Astrid Sjögren
Astrid Sjögren
Project Manager
+46 (0)70-812 95 72