Imagine inquiring about an apartment online and never hearing back—a frustrating experience millions face, while that unit sits empty. This glaring inefficiency is just one symptom of a much larger crisis in housing and healthcare, two sectors that consume nearly half of a typical household’s income. Elyse AI’s co-founders, Minna Song and Tony Stoyanov, joined a podcast to explain how they are leveraging artificial intelligence to tackle the immense administrative waste and operational bloat in these industries. Their goal is not merely incremental improvement but a fundamental reimagining: enabling fully autonomous buildings and streamlining healthcare administration to ultimately make these essential services more affordable and accessible.

The conversation delves deeply into the roots of the housing affordability crisis, identifying a national shortage of about 5 million units. While increasing supply is the ultimate solution, the founders argue that AI can provide immediate relief by optimizing the existing stock. They share compelling data: buildings using their AI for leasing and communication see occupancy rates 2% higher than market averages, simply by ensuring inquiries are never missed and apartments are filled faster. This efficiency directly counters major headwinds like soaring labor costs, which is the largest controllable expense for property operators.

The vision extends beyond leasing to a future of fully autonomous building operations. By automating maintenance triage, documentation, billing, and even access control via smart locks, AI can centralize and scale management dramatically. The podcast cites the example of a single employee at Brookfield Properties now able to service 10,000 units—a task that once required dozens of decentralized staff. This shift doesn’t eliminate human roles but redefines them, allowing staff to focus on community building and complex resident relations instead of repetitive administrative tasks.

The discussion then pivots to healthcare, where Elyse AI is applying similar technology to the administrative back-end. The founders note striking similarities between the two fields: high volumes of repetitive inquiries, complex scheduling, dense regulations, and reliance on inefficient phone-based systems. Their AI, initially developed for housing-related voice interactions and scheduling, translated seamlessly to healthcare intake and patient communication. The ambition is to use AI not just for scheduling but also for post-appointment adherence, patient education, and bridging language gaps—areas where small improvements could yield massive savings and better outcomes.

Ultimately, the founders’ driving mission is cost reduction. If successful, their work—and the broader adoption of AI in these sectors—could significantly reduce the 42% burden that housing and healthcare place on household budgets. They advocate for a future where competitive, technology-driven markets pass efficiencies on to consumers, making these fundamental needs less of a lifelong financial strain.

Surprising Insights

• The biggest impact may start with the most complex problems: The founders stated that, in hindsight, they should have started by targeting affordable housing, which has the most byzantine compliance paperwork and is the most underserved. Solving for maximal complexity first makes other applications easier.
• AI could foster more human connection, not less: In the vision for autonomous buildings, human roles don’t vanish; they evolve. Staff are freed from menial tasks to specialize in community engagement, conflict resolution, and building relationships—aspects that are increasingly valued as people spend more time working from home.
• Inefficiency itself is a consumer enemy: A counterintuitive argument is made that the manual, labor-intensive chaos of traditional property management actually limits competition and entrenches high prices. Technology that streamlines operations lowers barriers to entry and can foster more competitive, consumer-friendly markets.
• Healthcare and housing admin are strangely similar: Despite seeming worlds apart, the administrative cores of both industries involve the same high-volume, repetitive, and conversation-driven tasks (intake, scheduling, Q&A), allowing the same AI technology to be effectively applied to both.
• The path to affordability isn’t just new supply: While building more units is critical, the podcast highlights that AI can immediately improve affordability by drastically reducing the time apartments sit vacant and by cutting the operational costs that get passed on to tenants.

Practical Takeaways

• Automate leasing communication: Implementing AI to handle initial tenant inquiries and FAQs can prevent “ghosting” potential renters, significantly reduce vacancy times, and boost occupancy rates.
• Centralize operations with AI: Property managers can use AI platforms to automate maintenance routing, document generation, and key provisioning, enabling a single employee to manage a portfolio of properties rather than a single building.
• Focus human labor on high-touch roles: As AI handles administrative and repetitive tasks, re-train and re-focus onsite staff on duties that require empathy and complex problem-solving, such as resident retention and community programming.
• Apply AI to post-appointment care in healthcare: Use conversational AI to follow up with patients after visits, improve adherence to treatment plans, answer questions that arise later, and involve family members in care communication.
• Target preventative maintenance: Utilize AI to analyze work order data and equipment lifespans to schedule preventative maintenance proactively, avoiding costly emergency repairs and extending the life of building assets.