A multi-agent AI engine that automates the entire repair workflow— built from six years of real-world operational experience.
NEW YORK, Dec. 11, 2025 /PRNewswire/ — PaiBox today announced the public launch of the PaiBox AI Agent Platform, an operating system designed to automate the real-world workflows behind repair and rehab operations in rental housing. Now available on iOS and Android, PaiBox uses agentic AI to coordinate tenants, property managers, vendors, and owners through a unified workflow engine.
Every year, the U.S. rental housing ecosystem processes tens of millions of repairs involving fragmented vendors, scheduling conflicts, back-and-forth communication, and manual follow-ups. Even with digital property systems widely adopted, the coordination layer remains overwhelmingly human-driven — resulting in delays, inefficiency, and operational bottlenecks.
PaiBox introduces an AI-native infrastructure layer that automates these workflows end-to-end.
“The industry doesn’t need another software tool. It needs an operating system,” said Sherry Li, Founder & CEO of PaiBox. “PaiBox is the workflow brain that keeps every repair moving — coordinating tasks, enforcing next steps, and managing communication across everyone involved. AI is finally stepping into the physical world of real estate operations.”
A New Category: The OS Layer for Real Estate Operations
While existing systems store data and process transactions, they were never built to orchestrate multi-party operations in real time. PaiBox fills this gap by introducing the AI infrastructure that:
- Automates multi-stakeholder communication
Tenants, PMs, and vendors communicate in dynamic channels orchestrated by AI agents that route messages, follow up automatically, and prevent workflow stalls. - Executes operational workflows end-to-end
The PaiBox engine monitors job states, triggers next actions, escalates hold-ups, and ensures nothing slips through the cracks. - Provides intelligent vendor matching & network effects
AI selects the best matched vendor for each job using performance, responsiveness, geography, pricing, and historical data — creating a scalable ecosystem of trusted service partners. - Delivers real-time market intelligence
From price benchmarking to job-cycle analytics, PaiBox builds a dynamic data layer that strengthens decision-making across the portfolio. - Integrates seamlessly into existing operational stacks
PaiBox becomes the automation layer above legacy systems — not a replacement for them.
The result: an AI-driven OS that accelerates repair completion, reduces overhead, and enables operators to scale without proportional staffing increases.
Why Now: AI Meets a Fragmented, Labor-Constrained Industry
Labor shortages, rising maintenance volume, and fragmented vendor networks have exposed the limits of manual coordination. AI agents are now capable of managing real-world workflows at scale, making this the first moment in which automation can meaningfully solve repair and maintenance bottlenecks. PaiBox enters at the exact inflection point where the need and the technology finally meet.
Product Launch: Agentic AI for Real-World Operations
PaiBox has been piloted with operators in Georgia and North Carolina — two of the most operationally demanding rental properties markets.
At launch, the platform delivers:
- AI-driven vendor matching & quote request automation
- Scheduling through multi-party coordination channels
- Smart follow-ups, nudges, and automated reminders
- Real-time job status & workflow visibility
- Documentation and compliance capture
- Owner-facing transparency & reporting
Unlike chatbots that only message tenants or ticketing systems that create tasks, PaiBox’s multi-agent architecture actively moves work forward — operating like a full-time coordinator who never sleeps.
PaiBox is now available on the Apple App Store and Google Play Store, with enrollment open for the 2025–2026 Beta Expansion Program at www.paibox.com
Origin Story: Six Years in the Making
PaiBox began not in a lab, but inside a real-world, vertically integrated real estate operation.
In 2019, Sherry Li and her team built the first internal prototypes to streamline repair workflows across properties they owned and managed, coordinating dozens of vendors and hundreds of units. Between 2019 and 2023, the team refined an internal OS that systematically reduced coordination delays and operational overhead.
By 2024, AI agent technology matured enough to enhance these workflows. The internal OS was then merged with an agentic AI layer, resulting in an automation engine that was field-tested before commercial launch.
“Most AI startups start with a model looking for a use case,” Sherry explained. “We started with the use case. We lived the pain for years, built a real solution, and only then layered in AI. That’s why we are early — because our foundation was built long before AI became mainstream.”
About PaiBox
PaiBox is an AI Operating System for real estate operations, automating repair and rehab workflows across rental property portfolios. Through multi-agent coordination, intelligent vendor matching, automated follow-ups, and real-time workflow execution, PaiBox enables operators to reduce friction, accelerate job completion, and scale efficiently. Founded by real estate operators and built from six years of field-tested innovation, PaiBox is headquartered in New York.
Learn more at www.paibox.com
SOURCE PaiBox
