Case study 01 · Marketing automation
38% of prospects convert with no human touch.
2017 – present · Built in-house · Live across 12 communities
Website inquiry → EliseAI qualifies and books → Yardi holds the record → follow-up runs itself. The first human a prospect meets is at the tour.
01 · Problem
Inquiry to tour ran on people.
Every inquiry landed with on-site staff. A person read it, answered it, qualified the prospect, found a tour slot, and chased the follow-up. Twelve communities meant twelve versions of that work.
The job was not to make that faster. It was to remove the human steps between inquiry and tour entirely — and keep the record clean in the system the business already ran on.
02 · System
Four systems, one path, no hand-offs to a person.
The community website takes the inquiry. EliseAI runs the conversation: it qualifies the prospect and books the tour. Yardi holds the record. Follow-up runs on the same rails. Nothing in that path waits on a person.
The system diagram on this page is the whole thing. Where a human would normally sit, there is a dashed box: none. The only solid human step is the tour.
03 · Configured vs. coded
What the vendors do, what I built.
- Configured · vendor tools
- EliseAI — the qualification conversation and the tour booking. Yardi — the system of record. I set both up and I operate them.
- Coded · in-house
- The community websites and the inquiry funnels that feed the pipeline, and the hand-offs between website, EliseAI and Yardi that keep a person out of the loop.
- My role
- Designed the pipeline, chose and configured the vendor tools, built the web layer, and stay to operate it.
- Vendors' role
- EliseAI runs the conversations. Yardi holds the record. Neither designed the path.
04 · Result
05 · Industry context
Context, not a comparison.
Lead-to-lease rates swing by 150% or more depending on how a "lead" is defined, so these figures sit here as context only.
- 58% of multifamily operators report running AI somewhere in leasing. EliseAI, "State of AI in Multifamily" report, July 2026 — source
- 10–20% is the range one vendor publishes for lead-to-lease conversion. Haven, leasing-AI ROI benchmarks — source
- Definitions move the rate more than the software does. Respage, lead-to-lease benchmark, April 2026 — source
06 · What I'd do at your company
First, I'd map every step between an inquiry and a signed lease and mark which ones a person touches today. Then I'd wire the tools you already pay for — the website, the AI assistant, the property-management system — so the hand-offs happen without one. I'd write the definition of "converted" before any number goes on a slide. Then I'd stay to operate it.
Start the conversation
One call or one message. I read every one.