Uncover your AI Potential

Ready to see where your organization stands on the AI maturity scale? Our online assessment helps business and IT leaders gauge their AI readiness.

Answer a few questions about four key drivers of AI maturity—strategy, technology, governance, and culture–and receive an AI maturity report with your results and steps to level up.

Get your results almost instantly. Provide your email address after completing the assessment, and you'll receive an email with a link to the report.

Please note: This is not a technical assessment.

1. Strategy

Strategy means aligning AI initiatives with business objectives to ensure they contribute to strategic goals. This includes integrating AI projects into the business plan, defining clear AI objectives, measuring their impact, and securing executive sponsorship for resources and support.

How aligned are your AI initiatives with your overall business strategy?

We have identified some alignment opportunities but have not yet acted on them.

Our AI initiatives are partially aligned with our business strategy in certain areas.

Our AI initiatives are well-aligned with our business strategy across multiple units.

Our AI initiatives are fully integrated into our overall business strategy and consistently drive significant value.

How clearly defined are your organization's AI business objectives?

We are exploring potential AI objectives but haven't defined them yet.

Our AI objectives are defined and prioritized but not fully integrated into our business strategy.

Our AI objectives are well-defined, prioritized, and integrated into our business strategy across multiple units.

Our AI objectives are fully defined and consistently drive business value across the organization.

What is your organization's approach to measuring the impact and adoption of AI initiatives?

We do not currently measure the value or impact of our AI initiatives.

We have defined metrics and are starting to measure AI value in some areas.

We consistently measure the impact of AI initiatives across multiple business units using established metrics.

We have robust, organization-wide metrics in place to consistently measure and optimize AI initiative value.

What level of executive sponsorship do your AI initiatives currently have?

There is no executive support for AI initiatives.

Some executives show interest, but there is no formal support.

Executives support AI initiatives, but it is not a top organizational priority.

Executives are fully committed and actively involved. AI is a strategic priority across the organization.

2. Technology

Technology involves having an intelligent platform to deploy AI at scale to support growing demands. This includes advanced data management systems, scalable computing resources, and a mature AI technology stack, ensuring reliability and scale for AI applications.

How prepared is your organization’s infrastructure for AI applications?

We have identified some infrastructure needs but have not yet implemented them.

We have started implementing infrastructure to support AI in some areas.

Our infrastructure supports AI applications across multiple business units.

We have a robust, scalable infrastructure that fully supports AI applications across the organization.

How does your organization handle data for AI purposes?

We are exploring data requirements for AI.

We have identified some data sources but have not yet integrated them.

We have started integrating data sources for AI in some areas.

We have a comprehensive data strategy that ensures data is integrated, accessible, and optimized for AI across the organization.

How does your organization manage the scalability and performance of AI applications?

We have identified some scalability and performance needs but have not yet addressed them.

We have started addressing scalability and performance for AI in some areas.

Our AI applications are scalable and perform well across multiple business units.

We have robust scalability and performance management for AI applications across the organization.

How mature is your AI technology stack?

The AI technology stack is not mature and lacks essential components.

The AI technology stack is somewhat mature, but there are significant gaps.

The AI technology stack is mature, but there is room for improvement.

The AI technology stack is very mature and fully supports AI initiatives.

3. Governance

Governance encompasses the processes, controls, and accountability mechanisms necessary to manage AI at scale. Effective governance is essential for building trust and ensuring ethical AI use. Robust governance ensures that AI systems are reliable, transparent, and accountable.

What level of process and controls do you have in place to manage AI at scale?

There are no formal processes or controls for managing AI.

There are some basic processes and controls in place, but they are not comprehensive.

Processes and controls are well-defined and cover most aspects of AI management.

There are robust processes and controls in place to ensure effective management of AI at scale.

How does your organization ensure AI data privacy and security?

We have identified some requirements but have not yet implemented them.

We have started implementing data privacy and security measures in some areas.

We have comprehensive data privacy and security measures in place across multiple business units.

We have robust, fully integrated data privacy and security measures to ensure compliance and trust across the organization.

What measures does your organization take to ensure ethical AI use?

We have identified some ethical guidelines but have not yet implemented them.

We have started implementing ethical guidelines for AI in some areas.

We have comprehensive ethical guidelines in place across multiple business units.

We have robust, fully integrated ethical guidelines that govern the use of AI across the organization.

How transparent and explainable are your AI models and their outcomes?

We have identified some strategies but have not yet implemented them.

We have started implementing strategies to ensure transparency and explainability in some areas.

We have effective protocols and standards in place to ensure transparency and explainability of AI models across multiple business units.

We have robust standards to ensure transparency and explainability of AI models across the organization.

4. Culture

Culture refers to the organizational mindset and support for AI initiatives. A supportive culture is characterized by a clear vision of AI's role within the organization, a willingness to embrace change and innovate to stay competitive, and a leadership team that champions AI.

How supportive is your organization’s leadership of AI initiatives?

Leadership acknowledges AI initiatives but has not yet committed resources or support.

Leadership shows interest and has allocated limited resources to AI initiatives.

Leadership is committed to providing significant resources to multiple business units.

Leadership is highly supportive, actively driving AI initiatives with substantial resources organization-wide.

Is there a clear vision for AI within your organization?

No, there is no clear vision for AI.

There is a basic AI vision, but it is not well communicated or understood.

We have a clear AI vision that is communicated to key stakeholders but not consistently across the organization.

Our AI vision is well-defined, clearly communicated, and understood by employees at all levels across the organization.

How effectively does your organization manage change specifically related to AI initiatives?

We recognize the need for AI-driven change management but have not initiated any strategies.

We have started implementing change management strategies for AI in some areas.

We have effective change management strategies for AI in place across multiple business units.

We have robust AI change management strategies fully integrated and optimized across the organization.

How does your organization foster a culture of continuous learning and development for AI?

We acknowledge the importance of AI learning but have not explored opportunities yet.

We have identified opportunities for AI learning but have not implemented programs.

We have initiated AI learning and development programs in select business units.

We have effective AI learning and development programs implemented across the organization, fostering continuous skill enhancement.