A global credit reporting company sells a background lookup product to real estate agents, who use it mainly to decide whether it's safe to meet a stranger at an empty property.
The company wanted to rebuild it as an AI-first mobile app without creating new regulatory risk. Background data falls under the FCRA and GLBA, and an assistant that could be talked into a personal lookup or a stalking pattern was a non-starter, with up to $4M a year in revenue exposed to misuse. Agents also complained that reports buried real risk under duplicate minor infractions, and the client's IT team was capable but stretched.
Boxcar ai ran customer research, mobile technical discovery and AI requirements design for a credit bureau's real estate safety app, producing a governed assistant spec with 27 testable requirements, a hybrid cloud and on-device model architecture, and two sprint roadmaps for a 5-person team.
Kickoff to validated direction and build-ready roadmap, October to December 2025
Testable, audit-ready AI requirements in one spec for engineers and auditors
Four two-week sprints sized for a 5-developer team
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