Question 1

Why AI in a CMS needs to be different?

Accepted Answer

Most platforms bolt AI on as:
A proprietary add-on
A black-box integration
A feature tied to one model provider
A system trained on customer data

Webiny takes a different approach.

Inside Webiny AI is:
Model agnostic
Optional
Extendable
Governable
Built into your architecture — not someone else’s

Question 2

What does “model agnostic” mean?

Accepted Answer

Webiny does not lock you into a single AI provider.

You can use:
ChatGPT
Claude
Gemini
Or bring your own model

You decide:
Which provider to use
Where it runs
How it’s configured
When it’s invoked

AI becomes part of your stack — not a dependency you can’t change.

Question 3

What AI features are available out of the box?

Accepted Answer

Webiny includes practical AI capabilities designed to improve real workflows:

Human-readable version comparison
When comparing two content versions, AI generates a clear summary of what changed — so editors don’t need to manually scan fields and inputs.

AI-powered image tagging
When uploading images, Webiny detects what’s in the image and automatically applies relevant tags — improving search and organization.

Digital writer & reader personas
Define brand personas once, then generate content aligned with your brand voice, tone, and audience expectations.

AI Translations
Translate your content into multiple languages instantly. No need for complex processes and translation management systems.

These are built to reduce friction — not replace editorial control.

Question 4

Can AI features be turned off?

Accepted Answer

Absolutely.

System administrators can:
Enable or disable AI features
Control which teams can access them
Decide where AI is allowed to assist
Keep AI out of sensitive workflows

AI is a capability — not a mandate.

Question 5

Can we build custom AI workflows?

Accepted Answer

Yes — and this is where Webiny becomes powerful.

Using lifecycle events and extensibility, you can:
Trigger AI-based automations when content changes
Enrich content automatically
Run classification or summarization tasks
Build AI-assisted review workflows
Integrate with vector stores or retrieval systems
Create AI-powered internal tools

AI becomes programmable — not isolated.

Question 6

Is our data used to train models?

Accepted Answer

Webiny does not train models on your content.

Because Webiny runs in your cloud:
Your data stays in your infrastructure
AI integrations are explicitly configured
No hidden reuse of content
No cross-customer training

You maintain control over how your data is processed.

Question 7

Can we bring our own models?

Accepted Answer

Yes.

Because Webiny is extensible, you can:
Connect to hosted models
Integrate private or self-hosted LLMs
Use internal AI services
Swap providers without rearchitecting your CMS

This protects you from vendor shifts, pricing changes, or policy risks.

Question 8

Who is this designed for?

Accepted Answer

Webiny’s AI capabilities are ideal for:
Enterprises exploring AI responsibly
SaaS platforms embedding AI-assisted features
Marketing teams seeking brand-consistent generation
Organizations that need governance and control
Teams that want flexibility without lock-in

If AI is strategic for your organization, control is essential.

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AI capabilities — on your terms

AI that works with your architecture. AI inside Webiny isn’t a feature layer. It’s an extension of your platform.

Frequently Asked Questions

Want to bring AI into your content platform — responsibly?