61 - Beyond the Tech Stack: Building PropTech Around Outcomes

For years, multifamily operators have added point solutions to solve individual problems, creating increasingly complex tech stacks, disconnected data, and more systems for teams to manage.
In this episode, Shelley Robinson speaks with Prasan Kale https://www.linkedin.com/in/prasan-kale-07933b7/ and Kevin Rippon https://www.linkedin.com/in/kevin-rippon/ from Outcome Labs about why multifamily software has become too fragmented, too manual, and too expensive.
They dig into how Outcome Labs is approaching the industry differently by building around data, workflows, and real business outcomes instead of forcing teams into another point solution.
Shelley, Prasan, and Kevin also dig into what this shift could mean for multifamily teams. As repetitive administrative work becomes increasingly automated, employees can spend more time on higher-value work: understanding the business, making better decisions, engaging residents, strengthening relationships, and improving property performance.
Timestamps
00:00 - Welcome to PropTech Pulse and the problem Outcome is solving
00:36 - Why frustration and anger sparked the original product idea
02:11 - Why Kevin joined after seeing the data silos problem firsthand
05:49 - Working backward from outcomes instead of selling cookie-cutter software
06:55 - Customer type one: fast, affordable lease abstraction at scale
07:55 - Customer type two: rebuilding the software stack around real workflows
10:00 - Customer type three: automating a massive spreadsheet workflow across buildings
11:12 - Why AI should not just be another faster horse
12:14 - The three S model: services, staffing, and software
13:42 - How data ontology and lower cost create real NOI impact
15:35 - The moment customers realize AI licenses alone are not enough
18:22 - Why software should start with data infrastructure, not UI
21:07 - Pulling data from source documents instead of cleaning it later
22:04 - Inverting the usual software model by starting with goals and data
23:07 - Why more AI-powered point solutions can worsen the problem
24:37 - The real cost of software sprawl and death by a hundred cuts
25:55 - What skills will matter most in the next two to four years
26:24 - Junior talent, faster learning, and deeper industry understanding
28:49 - Why soft skills and relationship-building still matter in real estate
30:26 - How automation could improve tenant relationships and retention
31:18 - Why OpEx pressure makes this shift especially urgent now
32:33 - Final takeaways on not feeling trapped by the tech stack
35:05 - Why companies that move now may become the long-term winners
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