Artificial Intelligence is evolving from being passive tools to more agentic systems that can reason, plan, and act with increasing autotomy. With increasing levels of intelligence thought also comes an increasing demand for trust, accountability and transparency. In the talk we will investigate how agentic AI expands possibility from co-pilots to autonomous workflows, and why XAI is a necessary component for efficient and safe performance as well as becoming regulatory compliant. You will receive concrete design patters, real-world case studies, and lessons learned from implementation that help build AI agent development not just strong digital intelligence, but responsibly and with transparency to be trusted.