Jerimiah Taylor

When do your agents most often need answers? If you're looking at BrokerBot usage data, it's 8 PM. Not during office hours, but on a weeknight after dinner, while they're reviewing contracts and responding to client questions before bed.

That's also when nobody's at the office, the phone goes to voicemail, and the answer has to wait until morning.

Your brokerage's knowledge doesn't have to keep office hours. Your agents shouldn't have to either.

See it at brokerbot.ai

I've watched the PropTech landscape shift from "best of breed" to "best of platform" over the past year. The smartest brokerages aren't ripping out their CRM or their doc management system. They're adding an AI layer that connects everything they already use.

We built BrokerBot to sit alongside Follow-up Boss, SkySlope, Command, Lone Wolf, and whatever else a brokerage runs. Not to replace any of it. The 240+ offices on our platform didn't choose us instead of their existing tools. They chose us because we work with all of them.

PropTech had 200+ acquisitions last year. The consolidation is real. But the winners won't be the ones who bought the most point solutions. They'll be the ones who built the connective tissue between them.

Here's a pattern I've been watching in enterprise real estate: large brokerages are standing up internal AI committees before they evaluate any vendor. Formal governance, cross-functional working groups, sometimes months of internal process before a single demo gets scheduled.

For vendors, this is a real shift. The old playbook of landing a champion in one office and expanding doesn't work the same way when there's a committee, a checklist, and a legal review between you and a contract. You have to show up with documentation, compliance answers, and a clear integration story before the first call.

For founders building enterprise-facing products, this is actually good news if you're ready for it. It raises the bar for everyone. The vendors who can't navigate it get filtered out early. The ones who can tend to stick for years.

Had a great conversation with the Health & Real Estate Podcast this week.

We covered the story behind BrokerBot, what AI is really doing in real estate right now, and where I think the industry is headed over the next few years.

If you're in real estate — or thinking about how AI fits into your business — I think you'll get something out of this one.

Health & Real Estate Podcast 6 likes, 8 comments. "What Happens When AI Runs Your Real Estate Business? - Jerimiah Taylor | BrokerBot"

I talk to a lot of PropTech founders and product leaders, and the build-vs-buy conversation comes up constantly. Most lean toward building, at least at first.

One major transaction management platform spent a full year trying to develop their own AI internally. Strong team, real resources, genuine commitment. They scrapped it. The cost wasn't just money, it was opportunity cost, focus, and a year of their roadmap.

The hard truth is that real estate AI isn't a feature you can bolt on in a sprint cycle. The domain knowledge, the compliance surface area, the training data, it all compounds. Platforms that are winning right now are the ones that decided early what they're actually building, and what they're not.

Build the thing only you can build. Partner on everything else.

See it at brokerbot.ai