Agentic AI

Agentic AI refers to AI systems that can take autonomous actions to accomplish goals — browsing the web, executing code, managing files, and interacting with other services. Unlike chatbots that only respond to prompts, agentic AI can plan, execute, and iterate on multi-step tasks independently.

How it differs from traditional AI

Traditional AI tools (including most chatbots) follow a simple pattern: you provide input, they produce output. The interaction ends there.

Agentic AI breaks this pattern. It can:

• Plan multi-step workflows. Given a high-level goal, it breaks it down into steps and executes them in sequence.
• Take actions in the real world. Browse websites, write and run code, send messages, manage files — not just generate text.
• Iterate and self-correct. When something goes wrong, it can diagnose the issue and try a different approach.
• Maintain context across tasks. It remembers what it's done and uses that context to inform next steps.

Real-world applications

Agentic AI is already transforming how work gets done:

Software development. Tools like Claude Code don't just write code snippets — they plan architectures, implement features across multiple files, run tests, and debug issues autonomously.

Research and analysis. Agentic systems can search multiple sources, synthesize findings, and produce comprehensive reports without constant human direction.

Business process automation. From processing invoices to managing customer onboarding flows, agentic AI can handle complex workflows that previously required human oversight at every step.

Why organizations should pay attention

Agentic AI represents the next major leap in AI capability. Organizations that understand and adopt agentic workflows early will have a significant advantage — not just in productivity, but in the kinds of problems they can solve.