Reimagining BIM Readiness Validation through AI and Fix Pack Automation
Primary Dashboard interface in real time
In international BIM workflows, model submissions often fail due to non-compliance with local standards. These rejections typically arise from missing data, incorrect classifications and inconsistent terminology.
We discovered that most BIM teams don't know their model is invalid until it's too late when the submission fails. The last-minute scramble costs time, trust, and quality.
Teams face three repeating blockers:
Despite having powerful modeling tools, BIM professionals lacked a clear way to assess if a model was submission-ready.
To design a pre-submission validation tool that:
Ship the BIM sits between your modeling tools and submission systems. It doesn't edit models; it validates, explains, and empowers.
Core Features
A look into how we streamlined the design lifecycle by embedding AI at key friction points, speeding delivery without losing structural clarity.
How we used AI to move faster
Used LLMs to cluster interview notes faster, so we could pivot earlier without waiting days to "finish research".
Generated edge-case paths (signal loss, reroutes, mismatch flows) and validated the logic against real delivery steps.
Explored tone variants for voice prompts + error states, then rewrote with real delivery context (no generic copy).
Accelerated layout options + interaction variations, keeping human focus on motion clarity and safety.
Used structured checklists for states + accessibility: glare readability, contrast, touch targets, offline behavior.
So many decisions were made throughout this very short duration of 48 hours that shaped a strong MVP, and a great product.
User's hate switching between DVM, system console and applications.
During the flow, upload 4 docs for DVM, 2 reviews on System to skip.
Reduced users' time, more convenience.
Hardcore users lose some power, in some cases it will block out one.
Users want to see score first, then details.
A 2 tab scrolling view, issue breakdown by category.
Faster grasp for issues and scope.
Minority group loosing ability with some personas.
Users don't know the exact "AI" model used in the backend.
Many users' queries are specific to a given task, are answered by LLM's.
Better knowledge with more confidence, more accurate options.
Maintaining clarity and consistency in product across personas.
DVM shows incorrect, value-less fix.
Offer "Fix Pack" export, which will change bug and give value.
User's don't get "bad" experience.
Extra effort for users for fix/feedback process.
The product was tested on a real German office tower IFC.
Ship the BIM created a new category: readiness tooling for BIM delivery.
It's not a dashboard. It's not a viewer. It's the gate between "looks fine" and "is actually ready."
We shipped clean, scalable UX that respects complexity and gave control back to the humans doing the work.