Bridging the Gap Between Architects and AI

Reem Al Kaisy

HP AI Converter — From Raster Images to CAD-Editable Documents

The first AI converter, turning architectural scans into smart, editable CAD documents

Role: Customer Experience Lead Company: HP (via Nacar) Industry: AEC / AI SaaS Timeframe: Oct 2022 – May 2024

🔍 The Problem

AEC professionals waste valuable hours manually redrawing old architectural plans. HP set out to build an AI tool that converts scanned documents (PDF/TIFF) into editable CAD files. But:
Users didn’t trust full automation.
The AI wasn’t ready for the market.
The business model needed validation.

💡 My Role

As Customer Experience Lead, I designed and validated the early MVP experience, from pilot platform to market fit. I led:
Service and UX strategy
Real-user validation
Paid pilot design
Team alignment between AI, product, and UX

🧪 What I Did

Designed a “Wizard of Oz” MVP — simulating AI to test user demand
📈 Ran SEO & Google Ads experiments to target high-intent user segments
💬 Redesigned onboarding flows to guide skeptical users and boost trust
🤝 Bridged AI, UX, and hardware teams to ensure technical feasibility matched user needs
📊 Analyzed weekly data to improve product direction and market messaging

📊 Impact

ResultMetricFaster time-to-market🚀 Cut roadmap from 3 years to 1.5Onboarding success📈 +20% increase through better UXConversion rate💡 +10% via UX-led messaging experimentsCustomer acquisition🎯 30% shorter cycle via SEO + targetingMarket validation💰 Real paid users engaged in pilot

🧭 Key Takeaways

🧠 Progressive trust > full automation: Real users preferred tools that let them control outputs.
🤝 Human-in-the-loop UX was critical for adoption.
🎯 Service design accelerated business alignment across AI, product, and sales teams.

🔗 Want to learn more?

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Posted Feb 19, 2025

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