Agentic AI

Webisoft AI team Updated 2 min read

Agentic AI is artificial intelligence that pursues a goal by planning and executing multiple steps on its own, deciding what to do next, using tools and software, checking its own results, and adjusting course, with limited human intervention along the way. Where a chatbot produces one response per request and an AI copilot suggests while you drive, agentic AI is given an outcome (“resolve this ticket,” “research these five vendors and draft a comparison”) and works the sequence itself.

The recipe is consistent: a large language model provides the reasoning; function calling or computer use provides hands (search, databases, email, browsers, code); and a loop, plan, act, observe, revise, provides persistence. An AI agent is a single such system; “agentic AI” names the broader capability and design approach, including multi-agent setups where specialized agents hand work to each other.

The honest caveat is compounding error: a model that’s right 95 percent of the time per step succeeds far less often across a twenty-step task, and an agent that can act can also act wrongly. That’s why current best practice bounds agents carefully, narrow scopes, least-privilege access, spending and action limits, human checkpoints before consequential steps, and full logging.

Why it matters at work

Agentic AI changes the unit of delegation from “draft this” to “handle this,” which is where the larger productivity claims live, and where the larger risks live too. The practical questions for any team adopting it: which workflows have steps that are checkable and reversible (good agent territory) versus irreversible and high-stakes (keep a human in the loop); what the agent is permitted to touch; and how you’ll audit what it did. Start with contained, verifiable workflows and expand with evidence, not enthusiasm.

A work example

Given “find out why the Henderson invoice is unpaid,” an agent checks the billing system, finds the PO mismatch, pulls the correct PO from email, drafts the corrected invoice and a follow-up note, and queues both for a human to approve before anything is sent.

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FAQ

Is agentic AI the same as an AI agent? They are closely related. An AI agent is a single system that plans and executes tasks on its own, while agentic AI names the broader capability and design approach, including setups where multiple specialized agents hand work to each other.

What are the main risks of agentic AI at work? Errors compound across multi-step tasks, and an AI that can act can also act wrongly. Standard practice is to limit what it can touch, cap spending and actions, keep humans approving consequential steps, and log everything it does.