CAIO

Artificial intelligence is not just a technology; it is a new layer of decision-making, production, and automation that is transforming the core of organizations. But how can AI be adopted in a way that generates real value, respects people, complies with laws, and remains under control? In "CAIO: AI Governance Manual, " Dimitri de Melo presents the thesis that governance should not be a brake on innovation, but rather the essential bridge connecting technical capability to business direction. What you will find in this practical guide:The Bridge Thesis: Understand how to cross the "river" of risks-such as bias, hallucinations, and lack of transparency-that separates technology from business value. The 9 Knowledge Areas: A complete roadmap covering Roles and Responsibilities, Prioritization, Policies, Decision Rituals, Common Metrics, Risk Management, Compliance and Ethics, Integrated Roadmap, and Strategic Alignment. The Responsible Adoption Cycle: Learn how to transform pilots into institutional capabilities, moving from the "eternal lab" to sustainable scale. The Risk Scale: Learn how to apply proportional governance, creating fast tracks for low-risk initiatives and absolute rigor for critical applications. The Role of the CAIO (Chief Artificial Intelligence Officer): Discover the skills of the "ambidextrous" executive who orchestrates artificial intelligence as a strategic competitive advantage. Who is this book for?Written for board members, directors, technology leaders (CAIOs/CIOs/CTOs), risk managers, and professionals who need to make conscious decisions about AI in the corporate day-to-day. Move beyond improvisation and into governed adoption. Transform Artificial Intelligence into secure, ethical, and measurable value for your organization.