We assist organizations in developing the capabilities and competencies required to govern the impact of AI on strategic decision-making processes and leadership models. We support boards and top management in defining AI-augmented decision-making frameworks, aimed at improving decision quality, speed, and traceability in complex and regulated environments. 

We support companies in embedding AI into corporate strategy through the design of Cognitive Governance models, the definition of decision-making roles and responsibilities, the development of policies and guidelines for managerial use of AI, and the creation of concrete, value-oriented business cases. Our approach ensures alignment between technology, strategy, and accountability, avoiding both opportunistic adoption and the risk of uncontrolled delegation to AI systems. 

We also focus on the analysis of business processes and the definition of implementation roadmaps aimed at intelligent automation and the enhancement of managerial support activities. These initiatives are designed to concretely reduce information overload, increase the efficiency of decision-making processes, and free up time and cognitive capacity for strategic focus, while maintaining human control over critical decisions. 

Finally, the practice supports companies and industrial groups in AI transformation programs at the management team and corporate level, integrating technological innovation with organizational and cultural dimensions, and contributing to the development of mission, vision, and values models aligned with the evolving landscape of artificial intelligence and intelligent agents.