IA Leadership

Programas de Adoção de IA

2 - 4 Hours 4 Modules

Overview

Main Theme: AI Leadership

Duration: 2 - 4 Hours

Level: Beginner

Target Audience: Leaders, HR Managers, Innovation Directors, and Chief Transformation Officers

ABOUT THE TRAINING

This program addresses the critical need to prepare the organization for the integration of Generative AI, shifting the focus from software licenses to behavioral change. By focusing on maturity mapping and strategic communication, leaders will learn to transform fear of replacement into a commitment to professional evolution and operational efficiency.

Objective

Empower leaders to structure change management initiatives that ensure the realization of technological ROI, mitigating cultural anxieties and establishing ethical guidelines that consolidate AI as a strategic pillar of the business.

TRAINING MODULES

Cultural Maturity Mapping

Conducting organizational diagnostics to identify departments ready for acceleration and areas with greater resistance. The focus is to understand the psychological and operational barriers to automation, allowing for personalized team intervention.

Communication Strategy and Internal Narrative

Development of corporate narratives that align AI vision with employees' career objectives. Techniques to demystify technology, reduce friction, and create a sense of shared purpose in the innovation journey.

Ethics and Governance in Business Strategy

Formalization of guidelines for the ethical use of artificial intelligence. Discussion on how transparency and accountability in data usage become competitive differentiators and pillars of trust inside and outside the organization.

Execution

Focus on monitoring the real impact. Strategies to ensure that financial investment translates into effective and sustainable use, accelerating the organizational learning curve and ensuring that GenAI becomes a mainstream competitive differentiator.

Pesquisa

Grandes empresas, como empresas bancarias, estão consolidando IA Generativa como estratégia nos negócios.

Como exemplo, um Banco alcançou 98% de acurácia na conversão automatizada de programas em Java e elevou a eficiência no atendimento. Outra empresa no mesmo setor formalizou diretrizes para uso ético da inteligência artificial, reforçando a estratégia de possuir IA nos negócios.

Para esse ano, 2026, a expectativa majoritária das empresas é clara: a GenAI será pilar estratégico e diferencial competitivo — não apenas ferramenta de suporte.

Fonte: Revista mostra as estratégias das empresas na adoção de IA Generativa

Banco do Brasil formaliza diretrizes para uso ético da inteligência artificial