Agentic AI
Agentic AI refers to artificial intelligence systems designed to autonomously execute multi-step workflows, make decisions, and achieve goals with minimal human intervention. Unlike traditional generative AI that responds solely to single prompts, agentic systems use reasoning loops to plan actions, use tools, and adapt to changing environments.
You can now explain Agentic AI , what it is, how it works, and why it matters.
Why it matters
It matters to engineers, founders, and operators because it shifts software from passive assistance to active execution of complex business processes. Organizations adopt agentic systems to scale operations, automate specialized workflows, and reduce manual overhead across domains like engineering and finance.
How it works
These systems typically combine a large language model as a reasoning engine with specific tools, memory stores, and control planes. The agent breaks a high-level goal into a sequence of tasks, executes them iteratively, evaluates the results of each step, and adjusts its approach until the objective is met.
What's happening now
Indian banks are prioritizing agentic AI for mid-to-high-level strategic initiatives to automate complex workflows and improve customer service [1]. Simultaneously, Novo Nordisk and AWS are partnering to scale agentic AI workflows across drug discovery, target identification, and therapy design [2].
Auto-generated from Kapyn's news stream · grounded in 8 sources · updated Aug 12, 2026