Agentic systems represent a new software paradigm that enables products to act autonomously, adapt to dynamic environments, and make decisions in real-time. However, building production-grade agentic systems requires addressing key challenges in reliability, safety, and performance. In this session, we explore the core principles and best practices for designing robust, scalable, and trustworthy agentic solutions.
Creating the right product is a cross-functional effort—engineering, product and design must evolve their processes to harness the power of agentic AI. We outline a practical roadmap for upskilling teams, fostering AI literacy, and integrating agentic capabilities across disciplines. Through real-world examples, we demonstrate how collaboration between technical and non-technical stakeholders can accelerate AI adoption while mitigating risks.
Beyond technical implementation, organizations must undergo a fundamental shift to support agentic products at scale. We discuss key organizational transformations, including restructuring workflows, redefining success metrics, and cultivating an AI-first culture. Whether you're just starting your AI journey or looking to enhance existing capabilities, this session provides actionable insights on kickstarting agentic initiatives within your organization.
