Agentic AI workflows

AI agents, carrying the work.

An agentic workflow is a process where an AI agent, not a person, carries the work between your systems. The agent perceives what changed (a new lead, an inbound document, an order), decides what to do next based on rules and context you define, acts across your tools through their APIs, and verifies its own output before moving on. Verified output feeds the next cycle, and the loop runs until the work is done.

Classic automation follows a fixed script and breaks the moment reality deviates from it. An agentic workflow works toward an outcome: it reads unstructured input, handles variations, retries when something fails, and escalates to a person only when it is genuinely stuck.

PERCEIVEDECIDEACTVERIFYHUMANverifies output

the agents run the loop; a human at the center verifies output quality instead of doing the work by hand

HUMANverifies output

PERCEIVE

DECIDE

ACT

VERIFY

the agents run the loop; a human at the center verifies output quality instead of doing the work by hand

How it works in practice

Trigger

A lead lands, a document arrives, an order changes status. The workflow starts itself: nobody presses a button.

Understand

The agent reads the input (email, PDF, CRM record) and extracts what matters: who, what, how urgent, which account.

Act across tools

It updates the CRM, drafts the reply, creates the invoice, schedules the follow-up, through the same APIs your team uses.

Verify

Before anything ships, output is checked against your rules: does the invoice match the order, does the reply answer the question. Failures loop back.