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AI agents and workflows

Automate recurring work without losing control.

Use an agent for a defined task or a workflow for a process that crosses people and systems.

Direct answer

What is the difference between an AI agent and a workflow?

An AI agent handles a defined task that needs reasoning or action. A connected workflow coordinates a repeatable process across people and systems, with explicit limits, owners, approvals, and escalation.

  1. 01

    Choose an agent when one bounded task needs context, reasoning, or an allowed action.

  2. 02

    Choose a workflow when work must move through several systems, roles, or decisions.

  3. 03

    Define what AI may prepare, recommend, or act on before launch.

  4. 04

    Send unclear or high-impact work to a named person instead of letting the system guess.

Agent or workflow

Choose by the work, risk, and ownership.

01

AI agent

Handles a defined task that needs reasoning or action.

02

Connected workflow

Coordinates a repeatable process across people and systems.

Inside a project space

Keep the workflow and its decisions visible.

For larger builds, active work stays tied to the approved outcome, owners, tests, and review.

Work board

See each handoff and open decision.

The board ties active work to the approved plan, owner, tests, and review.

Current product UI with sample data

Safe autonomy

Define where AI acts and where people decide.

Our engineers design and test those boundaries before launch.

Security and governance →
01

Prepare

AI gathers information and drafts.

02

Recommend

AI proposes. A person decides.

03

Act

AI takes only the actions allowed for that workflow.

04

Escalate

Unclear or high-impact work goes to an owner.

Start with recurring work

Bring one process worth improving.

Define what AI may do, where it stops, and who decides.

Discuss the process →