Bridging the Gap Between Architects and AI

Role: Product Owner & Customer Experience Lead Timeline: October 2022 – April 2024 Objective: To pioneer an AI-powered solution that converts raster-based architectural plans into editable vector files, progressively transforming these into AI-recognizable smart objects.

Each pilot was designed to meet certain criteria to validate different KPIs, weekly reviews and evaluations of each pilot was the key to decide the next action and to check the requirements essential both from development technical side and also the best practice on the customer experience.

Validated Market Fit: Secured repeat users, demonstrating strong demand and pricing alignment for the tool.

Shaped AI Development: Delivered actionable insights that prioritized file conversion quality and accuracy.

Data-Driven Evolution: Shifted the project to a data-first approach, refining the MVP based on real-world user behavior and needs.

End-to-End Leadership: As the product owner of the pilots, I drove innovation by securing executive buy-in through data-driven presentations, and successfully obtaining a €300 daily Google Ads budget. I also streamlined development by hiring an external developer to bypass internal bureaucracy, creating a startup-like agile environment within HP to experiment, iterate, and deliver impactful results efficiently.

Strategic Validation: Designed and executed a Wizard of Oz pilot website to test key metrics, such as:

Collaboration Across Boundaries: Bridged technical teams (Product, AI, and Hardware) by translating complex user needs into actionable technical requirements, such as ensuring AI-generated lines were continuous and met architectural standards.

Innovative Resource Management: Advocated for and implemented creative solutions, including bypassing HP’s rigid internal processes to fast-track development through external collaborations.

Led cross-functional teams, facilitating communication between product, AI, and hardware groups.

Advocated for critical AI features to ensure architectural accuracy, such as continuous lines and proper wall recognition.

Owned the pilot program, using an iterative testing approach to refine the MVP:

Transitioned to a fully data-driven strategy by tracking weekly insights:

Used these insights to align technical development with user feedback, ensuring realistic, impactful results.

Crafted intuitive user flows, email templates, and feedback mechanisms to engage users at every touchpoint.

Designed and managed marketing efforts, including surveys and SEO-optimized campaigns.

Market Success: Delivered an AI-driven tool that is 4x faster than competitors in 1,5 years instead of 3 years with accuracy that aims to be the best, gaining repeat customers and setting a new industry benchmark.

Technical Alignment: Unified diverse teams to deliver a seamless solution that meets both business and technical needs.

Validated Scalability: Designed a roadmap for future iterations of the tool based on validated user needs, feedback, and usage patterns.

This case study is a testament to my ability to take ownership, lead cross-functional teams, and deliver innovative, high-impact solutions. By combining strategic validation, resourceful execution, and deep domain expertise, I turned an ambitious vision into a product that reshaped workflows in the AEC industry.