Airbox helps sales teams manage incoming leads from various social media sources, track their journey through a pipeline, and convert them efficiently. As the sole product designer on this project, I was responsible for the full design system: brand guidelines, the web app, and now the mobile app, all from scratch.
Problem
Real estate sales teams operate across multiple stages — from the moment a lead comes in, to site visits, negotiations, and final booking. Each stage has different team owners, different time sensitivities, and different conditions that have to be met before a lead moves forward.
The client needed a way for admins to build and configure these pipelines without requiring developer involvement.
The design challenge: How do you make pipeline creation feel intuitive for a non-technical admin — while still being flexible enough to handle complex sales workflows?
Creating a canvas pipeline builder
My initial solution was a canvas-based pipeline builder where admins could visually add stages, assign teams, set conditions (mandatory notes, Q&A prompts), configure reminders, and define reallocation timelines.
Enhancing the experience through AI
I proposed to use the global pipeline as a structured JSON reference that Box AI works from. The admin describes their intent in plain language. AI maps that input onto the existing template — it doesn't generate pipelines from scratch, it configures a known structure. This preserves data integrity on the backend while keeping the frontend experience genuinely conversational.
What does Box AI solve?
Expected Impact
Following the Q2 launch, Airbox is expected to deliver meaningful improvements across speed, adoption, and scale-
Pipeline setup time is projected to drop from ~20 minutes of manual configuration to under 3 minutes, enabled by Box AI.
Among the 50+ person team, canvas builder is expected to support 2× more pipeline creation compared to the current platform.
The product is also on track to onboard 500+ new users to the Airbox platform post-launch
