Can AI help you build better diagrams?

draw.io’s Generate tool uses “multi-engine generation“, intelligently routing each prompt to the most appropriate AI engine for the job. As AI diagramming is fast becoming the norm (and, dare I say, default), now is a good moment to ask the obvious question:

When does AI actually make your diagrams better, and when should you still build it yourself?

Below, we break down exactly when AI earns its place, when it doesn’t, and how the Generate tool’s approach differs from a standalone AI chatbot.

This includes sequence diagrams, UML, ERDs, Gantt charts, etc. The output is often rendered as Mermaid syntax. You can regenerate the diagram directly in the Generate tool by clicking the edit pencil icon and re-entering the prompt. Alternatively, you can customize the diagram once it’s loaded in the editor by clicking on the blue pencil icon and going into the code directly.

Generating a sequence diagram using the Sparkle icon in draw.io

Edit the diagram using the pencil icon in the top-left of the diagram

Stuck for ideas, or already have some idea in mind of what will go into each step? Add your requirements as a prompt, and let the Generate tool handle the rest. You can then customize the output as you see fit.

In this case, the mind map generated included all the key information, along with additional context for the branches like, “Drag-and-drop interface”, and “AWS, Azure, GCP icons” which is useful. However, stylistically it could be improved, and some minor tweaks to the color and font scheme quickly addressed that.

A mind map created with the Generate tool

Record a meeting (if you have permission from attendees to do so), then use the generated AI script to generate a diagram; this can be from, say, Gemini notes taken during a Google Meet call. This is great if, for example, you want to create a flowchart detailing a recent incident postmortem. As the draw.io diagram is embedded on the Confluence page directly, a quick page share will get the diagram to those who need to access it.

In this case, manual edits are essential: AI is good at structure, but not judgment. It nailed the sequencing, extraction, and layout scaffolding (the postmortem diagram got the timeline right), but it created a decision split without subsequent Yes/No paths. What’s more, AI doesn’t know what your audience needs to see unless you explicitly tell it; e.g., here, it wouldn’t know that devs care about role ownership or MTTR.

A note here: At draw.io, we’ve had a few instances where the AI-generated notes have contained inaccuracies, recording something that someone didn’t say, attributing it to the wrong person, or stating something false outright. So while this is a great tool at saving time, it’s important to ensure the meeting notes you’re using accurately capture the conversation that happened first.

An incident postmortem flowchart created with the Generate tool

The incident postmortem flowchart

For certain types of visualization, e.g. floor plans, garden layouts, blueprints, and highly specific technical diagrams and schematics, building from scratch is the way to go. You will build the exact layout you want, with the right aspect ratio and proportions.

Starting from scratch doesn’t necessarily mean building custom shapes yourself! draw.io offers a number of shape libraries, including dedicated network shape libraries and a Floorplans shape library, to get you started.

We saw in the previous mind map example that AI can help structure and even add additional ideas to your diagram. However, while AI can act as a handy sounding board, it’s not always the best route for creativity. Starting with a blank canvas in the draw.io Board lets your imagination run riot. You can be part of the creative process and see the direction your ideas take organically, instead of letting AI do all the thinking for you.

Certain diagrams like SWOT analysis, Boston Consulting Group matrix (i.e. growth-share matrix), and sales funnels typically follow a set structure. Here, it’s best to use a standard template (or create a custom template of your own to share across your organization).

No context-switching. Generate a diagram directly from the editor; there’s no jumping to a separate chat window, copying output, and importing it back in. What you get is added straight to the canvas as an editable diagram, ready to refine.

Richer input, not just a text box. Beyond a plain prompt, you can attach additional context using the plus (+) icon, for example other diagrams, images, or the current page. This gives the AI more to work with than a one-line description (this matters most when you’re asking it to modify something that already exists, rather than generate from scratch).

Scoped, predictable data access. The Generate tool only has access to the diagram data it has generated in that chat, and anything you’ve explicitly shared with it, nothing more. As with any AI or smart content generation tool, avoid including sensitive information: don’t put private, personal, or confidential business details in your queries. Learn more about AI diagram generation.

Securely stored in Confluence (SSOT). The diagram is attached to the Confluence page within the context it relates to, rather than as a screenshot pasted in, or a file you have to hunt down separately. This means the diagram is immediately shareable and editable by teammates with page access.

Technically, yes, but “better” depends on what you’re building. AI is genuinely good at structure; turning a rough idea, a transcript, or prompt into a solid first draft, fast. Where it lacks is making judgment calls. Even with context, it doesn’t know what your specific audience needs to see or what’s important to them.

This is where human input is essential: an AI-generated diagram can only get you so far; without a pair of human eyes glossing over everything and adding that value call, the resulting diagram could very well contain errors.

We’ve seen that AI works best with:

• Technical, well-defined diagrams (sequence, UML, ERD, Gantt). The structure is unambiguous enough that it usually gets you close to done.
• Unstructured input, or a quick first draft (brainstorms, initial layouts). AI reduces that daunting blank canvas with an initial concept, for you to then review and elaborate on.
• Turning meeting notes into diagrams. But with the caveat that it’s best to check a) that the meeting notes actually reflect the conversation that happened and b) that the diagram accurately reflects the meeting notes!

When it’s best to build yourself:

• Precise diagrams (bespoke floor plans, blueprints, schematics). If you have a fixed idea of what you need to visualize, starting from scratch will leave you with a diagram exactly how you want it.
• Custom templates with set layouts (SWOT analysis, BCG matrix, sales funnels). For diagrams that follow an established structure, a template will get you there faster than an AI prompt will.
• Creative exploration (brainstorming and mind mapping). For when you want to rely on your own creativity without the influence of AI.

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