Core Insights - The article emphasizes that agentic AI will provide value only when companies redesign workflows around outcomes rather than tasks and rethink human and AI collaboration [1][3] Group 1: Agentic AI Systems - Agentic AI is described as a "team of digital colleagues" capable of autonomous reasoning and coordination, which can transform fragmented operations into seamless workflows [3][4] - Successful implementation requires appointing "mission owners" to define goals, empowering AI agents, and structuring work around results instead of departments [3][4] - Three imperatives for building agentic AI systems include designing around outcomes, unlocking data silos through shared business logic, and developing responsible governance frameworks [4][3] Group 2: Security in Agentic Commerce - Cloudflare is collaborating with Visa and Mastercard to create a trust framework for AI agents in digital payments, ensuring secure transactions [5][6] - The proposed system uses cryptographic protocols to authenticate AI agents, allowing merchants to recognize legitimate agents without confusion [6][7] - Cloudflare plans to integrate these protocols into its Agent SDK, facilitating secure transactions while complying with payment network requirements [8][6] Group 3: Financial Institutions and Agentic AI - UBS positions agentic AI as a foundational shift in business evolution, embedding autonomous intelligence into its operations [9][10] - The bank is restructuring its operating model to manage AI agents responsibly, with IT teams overseeing autonomous systems through defined permissions and compliance [11][10] - UBS has established an Agentic AI Center of Excellence to coordinate innovation and ensure ethical deployment across various teams [12][11]