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TL;DR
VizAI refers to a LatentView’s multi-agent AI system that automatically generates working dashboard wireframes for Power BI, Tableau, and Looker.
- Wireframes that previously took hours of manual setup are generated in under 3 minutes
- 100% automated wireframe generation across all three major enterprise BI tools
- Output includes wireframes aligned to business objectives with live dynamic filters — not a static reference image
- Built on a multi-agent architecture: separate HTML, CSS, and JS agents work in parallel, then merge into one working wireframe
- Every wireframe ships with a VizX Score for objective design quality, with on-demand regeneration
- 100+ active users across client delivery teams operate inside a 40% reduction in overall dashboard development time
What Is VizAI?
VizAI refers to an AI system that automatically generates working dashboard wireframes for Power BI, Tableau, and Looker. Since we introduced it, the questions below are the ones analytics leaders ask most often when evaluating it for their own teams.
How Fast Is VizAI, Really?
VizAI delivers 100% automated wireframe generation across the three major enterprise BI tools — Power BI, Tableau, and Looker. Most teams want to know whether that speed comes at the cost of relevance to their actual use case.
A wireframe that used to take hours of manual setup is generated in under 3 minutes, cutting that initial stage down to a fraction of the time it traditionally consumed. The output includes wireframes aligned with business objectives and live dynamic filters, not a static reference image.
Across client delivery teams, 100+ active users are already operating inside a 40% reduction in overall dashboard development time. That is their standard way of working, not a result achieved under ideal conditions.
How Does VizAI Actually Build the Wireframe?
LatentView built VizAI on a multi-agent AI system, where different agents handle different parts of the build at the same time rather than one model trying to do everything at once.
| Agent | Responsibility |
|---|---|
| HTML agent | Structure |
| CSS agent | Styling |
| JS agent | Interactivity |
All three are merged into a single, working wireframe. This approach is what allows the output to feel like a real, functioning interface rather than a static layout someone has to imagine working.
What If the Wireframe Doesn’t Meet the Mark?
Every wireframe VizAI generates comes with a VizX Score attached, giving you an objective read on its design quality the moment it’s created — rather than waiting for a stakeholder review to surface that feedback later.
If the score doesn’t meet your expectations, or you simply don’t like what came back, you can ask VizAI to regenerate the wireframe. LatentView designed this so quality control stays in your hands at the moment, and revision stays fast and self-contained instead of becoming another back-and-forth cycle with the broader team.
What Was the Real Cost of Skipping This Step, or Doing It Manually?
Manual wireframing consumes project time that never appears as a line item — and skipping it costs more.
Wireframing has always taken time that nobody planned for. Layouts get adjusted by hand. Stakeholders go through multiple rounds of feedback before anything is finalized. The same design often gets rebuilt separately depending on whether it’s headed to Power BI, Tableau, or Looker.
That time adds up across a project, but it rarely shows up as its own line item — so it’s easy to underestimate how much of a project’s timeline it actually consumes.
This is also why many teams skip wireframing altogether and go straight into building the dashboard. It feels faster in the moment, but it shifts the entire process:
- Without a wireframe, a dashboard ends up data driven — shaped by whatever data happens to be available
- With one, it stays decision driven — shaped by what a stakeholder actually needs to see and act on
The intent that goes undefined at the wireframe stage doesn’t disappear. It resurfaces later, usually after the dashboard is already built.
What Does Adoption Look Like Today?
100+ active users — designers, analysts, and BI developers across client delivery teams — already rely on VizAI as their starting point for new dashboards, not as something they switch into occasionally. That usage reflects a real 40% reduction in development time, not a projected one.
We built VizAI because we had personally experienced the same slow back-and-forth that most analytics teams quietly accept as part of the job, and we believed that was worth fixing. If your organization is ready for this shift, book a demo of VizAI.
