This white paper explores the rise of generative AI agents and their impact across industries. It defines agents as systems that can reason, plan, and take action using foundation models and tool integration. Key use cases include customer support, IT automation, and business operations. The paper highlights critical capabilities like memory, long-context handling, retrieval-augmented generation (RAG), and orchestration across tools and APIs. It also outlines challenges such as grounding, safety, cost-efficiency, and model drift. Success depends on thoughtful architecture, evaluation frameworks, and alignment with business goals and human oversight.

Join for free to read