# What is Workflow? | Yungle glossary

> A workflow is the sequence of steps a piece of content or work passes through from creation to completion.

Source: https://yungle.ai/glossary/workflow/

1.  [Resources](https://yungle.ai/resources)
2.  Glossary

Glossary · W

# Workflow

In plain words

A workflow is a sequence of processes through which a piece of work passes from initiation to completion. In content management, workflows help streamline the creation, review, and approval of content, ensuring that all stakeholders are aligned and that deadlines are met efficiently.

Example

Brief → wireframe → design → build → QA → launch, with an owner and a deadline at each step, so projects don't stall between teams.

Related resources

-   Glossary

    ## Content Management

    Content management is the process of creating, editing, and publishing digital content in an organized way.

    [See term](https://yungle.ai/glossary/content-management)
-   Glossary

    ## Content Management System

    A CMS is the system that lets you update website content, like blogs and case studies, without touching code.

    [See term](https://yungle.ai/glossary/cms)
-   FAQ

    ## How Is an AI Development Partner Different From a Traditional Web Agency?

    A traditional web agency builds and maintains your website's design and content; an AI development partner does that plus builds the automation and intelligence layer running behind it — lead scoring, AI chat, workflow automation, and data pipelines. The two overlap on foundational web work but diverge once you need systems that reason, respond, or act on your business data. Businesses increasingly need both under one roof, since AI features built without strong web fundamentals tend to underperform.

    [See answer](https://yungle.ai/resources?type=faq#how-is-an-ai-development-partner-different-from-a-traditional-web-agency)
-   FAQ

    ## How Do I Know if My Business Is Ready for AI Automation?

    You're ready if you have repetitive, high-volume tasks eating your team's time, reasonably organized data or documentation to work from, and a specific process in mind rather than a vague goal of "adding AI." Businesses that struggle with AI adoption usually skip the process-mapping step and try to automate something too undefined to build reliably. Starting with one well-understood workflow, rather than an ambitious company-wide rollout, is what actually leads to a working system.

    [See answer](https://yungle.ai/resources?type=faq#how-do-i-know-if-my-business-is-ready-for-ai-automation)

Next step

## Let's talk

_Image: Engraving of a jungle panorama with mountains_

Inspired by Tulum, QROO, MX