Why Voice AI Is Property Management’s Hardest Problem
40 viewsAbout This Episode
The conversation covers where AI is already delivering real results today, including structured data synthesis and multi-agent orchestration for call routing, and where voice specifically still runs into trouble: latency, turn detection, background noise, accents, and juggling multiple languages in real time. Lindsay also walks through the tradeoffs between speech-to-speech models and a deconstructed pipeline approach, and why quality assurance for voice looks nothing like testing a chatbot.
They close with practical advice for property management teams evaluating voice AI: start with the job to be done, not the technology, and look for easy wins like after-hours coverage, missed calls, and collections outreach before tackling anything more complex.
About Our Guest
Lindsay Liu is co-founder and CEO of Super, a voice AI company built specifically for property management. Before starting Super, she spent 15 years building and scaling digital products and technology companies, and has personally invested in real estate for more than a decade. That combination of tech and property management experience is what led her to focus Super on voice: an interface she and her team consider the most natural, and the hardest, application of AI in the industry today.
