20 steps to resolve one maintenance issue. Work orders sitting unresolved for months. Property managers walking out from burnout. Nidus Group’s Lina Lim says the industry’s reliance on manual processes is unsustainable, and she’s helping build an AI solution that could fundamentally change how agencies operate.
On this episode of the PMX Podcast, host Alex Whitlock is joined by Nidus Group’s Lina Lim and Fixer co-founders Manas Maheshwari and Lovelin Gandhi to unpack the growing workload crisis in property management and how AI could help solve it.
Lim reveals how a single maintenance request can involve 20 manual steps, with some work orders awaiting landlord approval for months. She explains why existing technology is failing to reduce administrative workloads, leaving property managers frustrated, overwhelmed and increasingly burnt out.
The team discusses how they developed an AI platform designed to manage maintenance requests, coordinate trades and reduce manual follow-ups. Rather than navigating multiple dashboards, property managers can instruct an AI assistant to handle routine tasks, freeing them to focus on clients and growing their rent rolls.
They also explore why staff initially feared AI would replace their jobs, how disconnected systems are creating unnecessary work, and the opportunity to integrate property management, finance and accounting to deliver better outcomes for landlords.
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