California
USA
Agentic AI development focuses on building intelligent systems that can plan, reason, act, and learn autonomously to achieve specific goals. Unlike traditional AI, agentic AI systems are designed to make independent decisions, interact with tools and environments, and continuously adapt based on feedback. Through advanced architectures combining large language models, reinforcement learning, and tool orchestration, agentic AI enables the creation of digital agents that can automate complex workflows, optimize business processes, and deliver human-like problem-solving across industries such as finance, healthcare, customer support, and software engineering.