How AI voice agents, follow-up sequences, and a private data brain change the way a brokerage runs — written for broker-owners, not for robots.
Written by a company that builds one – so it owes you the honest version. The field by job, the five questions that matter, and when we are not the answer.
A plain-language guide to a TC’s real job – the deadlines, the chase, the compliance – and which half of it AI now handles well. Honest about what still needs a licensed human.
Sierra publishes its pricing: $299.95 to $599.95/mo, with a reported 6-month commitment and setup. Full breakdown plus an honest comparison.
kvCORE and BoldTrail don’t publish pricing. Third parties report $300-$499/user/mo and teams at $500-$1,500+. How to sanity-check the quote.
Lofty is quote-only — every plan says Request Pricing. What teams report paying, what drives the quote up, and how it compares to a published rate card.
Four drip campaign skeletons for buyer leads, open houses, past clients, and your sphere. Plus the exit rules and branching logic that separate an AI sequence from a timer.
An honest split of transaction coordination in 2026: which TC tasks an AI can run end to end, and which decisions still need a licensed human.
Six questions decide whether brokerage software still makes sense in 18 months. A buyer-side checklist covering real cost per agent, data ownership, after-hours coverage, integration honesty, and exit costs.
A category-by-category look at the AI tools brokers actually need in 2026: voice agents, follow-up automation, e-sign, content, and the data layer underneath. Plus the honest case for when one system beats ten tools.
A new brokerage runs on five systems. Here’s the 2026 minimum viable stack, where the overspending happens, and how an AI operating system shrinks the list.
A team of AI agents on a private brain that’s yours. Founding spots are opening now.
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