Enhancing AI Maturity, Strategies, and Usage for Work
The rapid spread of Generative AI brings with it the promise of enhancing the work of individuals, teams, and organizations. However, this promise can go unfulfilled.
MIT’s research The GenAI Divide: State of AI in Business 2025 highlights that the ROI of AI projects in organizations often fails to justify the investment (https://hbr.org/2025/08/beware-the-ai-experimentation-trap).
With our AI Attitude model, we measure how individuals and teams use and integrate Generative AI into their work, aiming to understand skills, approaches, and operational methods in using this emerging technology.
Through our proprietary platform AI-Based Challenge©, we design business cases fully aligned with the client's context, calibrated to its organizational complexity and the real challenges teams face daily. Each case requires participants to use Generative AI, properly trained and configured, to achieve the defined objective in the scenario.
This approach allows us to observe how participants interact with AI in concrete situations, objectively capturing strategies, behaviors, operational choices, and the ability to integrate the tool into work activities. The result is an accurate and realistic measurement of their maturity level—not only technical, but also methodological—in using Generative AI.
Through the challenges, different user approaches emerge: some leverage AI as a creativity booster, others use it as an analytical tool, an operational assistant, or struggle to navigate and assess its outputs. Making these differences visible supports a real leap in awareness: people better understand their strengths and areas for improvement, while the organization gains a clear picture of its training needs.
This process encourages the search for the best strategies and practices to unlock the full potential of Generative AI, helping teams and individuals evolve toward a more effective, responsible, and integrated use of this technology in everyday work.