AI maturity : moving forward on all fronts to create value

Artificial intelligence holds tremendous potential on many fronts : increasing productivity, improving customer and employee experience, reducing costs, and driving innovation. Yet too many organizations remain stuck in the experimentation phase, testing tools like Copilot or ChatGPT, without truly benefiting from AI. Why? Because successfully integrating AI isn’t just about buying a new tool. To unlock its full value, organizations must advance coherently across five maturity dimensions : methods and processes, technologies, talent and expertise, data and information, and organization alignment.
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A three-level model to structure progress

The maturity model developed by Videns, powered par COFOMO, helps organizations assess their current state and plan their evolution across three levels :
• Explore : use information and off-the-shelf AI tools in an ad hoc manner.
• Shape : tailor AI to your data and your business context.
• Propel : transform the organization through fully integrated, responsible AI aligned with your values.

This framework is designed to support a realistic, gradual, and measurable journey. The goal isn’t to have more AI, but to integrate it better.
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The five maturity dimensions : finding the right balance

Each dimension represents a complementary pillar of success :

1. Methods  and processes : the ability to choose, adapt, and monitor the right AI approaches (explanatory, predictive, generative,  or agentic.
2. Technologies : an interoperable, secure IT ecosystem aligned with business needs.
3. Talent  and expertise : skilled employees and decision-makers who can understand, assess, and guide AI use.
4. Data  and information : accessible, high-quality, and responsibly governed data.
5. Organization : coherent governance and a culture where AI aligns with enterprise values  and strategy.

These dimensions evolve together : investing in technology without strengthening governance or internal capabilities often leads to disappointing results. High-performing AI requires a coherent, holistic approach and balanced advancement across all five axes.
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A model aligned with the latest developments in AI

Our AI maturity model integrates the most recent advancements in artificial intelligence, including agentic approaches, MLOps practices, and responsible AI frameworks (ethics, fairness, explainability, compliance). It also reflects new regulatory and normative requirements: risk management, model traceability, transparency, and alignment with organizational values.
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→ Download a copy of the model

In short: AI doesn’t propel an organization simply because it’s powerful. It does so when it is well integrated, well understood, and well governed.
That is the holistic and responsible vision that our AI maturity model offers organizations.
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This article is the first in a six-part series on AI maturity. In the coming weeks, we’ll explore each of the five dimensions in depth to understand how to advance them in a concrete and balanced way.

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In the meantime, discover Lucia, the tool designed to help you assess and structure AI adoption in your organization. Based on the Videns AI maturity model, Lucia provides a clear picture of your progress across the five key dimensions. https://www.videns.ai/en-ca/lucia