200+ Hours/Year Saved — 20-Agent Midwest Team Case Study
200+ TC hours absorbed per year by the AI-native transaction coordinator. The AI control plane for real estate compounds: more deals, fewer TC hours, higher on-time-close rate.
This case study reflects a real customer pattern. Identifying details anonymized at customer's request. Headline: 20-agent Midwest team, 200 closings/year, two TCs. Net TC-hour reduction over 12 months: 218 hours.
The setup
20 agents. Two TCs handling all post-contract work. Pre-ReBillion: average TC hours per file 8.4. Lender communications primarily handled by the more senior TC. Compliance run quarterly with broker-of-record.
What changed when they deployed
Enabled Contract Intelligence on intake. Task Engine generating per-state checklists. Email orchestration for the standard lender/title/utility sends. AI Inbox Intelligence monitoring 32 lender/title/utility threads per TC per week. Records vault running per-state retention.
Hours saved per category
Email triage and drafts: -1.8 hours per file. Outbound communications coordination (AI Inbox Intelligence): -3.4 hours per file. Calendar maintenance: -0.5 hours per file. Records filing: -0.7 hours per file. Net: -6.4 hours per file. New average TC hours per file: 8.4 to 5.0. Over 200 files: 200 × 3.4 = 680 hours saved theoretically; actual measured: 218 hours saved net of new work the team chose to add (more thorough buyer/seller updates).
On-time-close rate
Pre: 87.3 percent on-time close. Post: 94.6 percent. Most of the lift attributed to earlier surfacing of lender slips via AI Inbox Intelligence.
What didn't change
Staffing. Same two TCs. The hours saved went to higher-touch buyer/seller updates and to broker-of-record compliance review.
Quote
'We thought we'd lose a TC. We kept both, and now our broker has time to do compliance review weekly instead of quarterly.' — Team Lead, anonymized.
Frequently asked
Is the 200-hour number conservative or aggressive?
Conservative. The customer chose to spend some of the freed hours on higher-touch work; gross savings were closer to 680 hours/year.
Did closing volume grow?
Up 14 percent year-over-year, attributed to faster TC turnaround enabling more agent recruiting.
How fast did the team see the impact?
Material within 30 days; full impact within 90.
Could you scale to 400 closings without adding TCs?
Per the customer's stated capacity model, yes — to 400 to 500 with the same TC headcount.
What was hardest about deployment?
Getting TC consent capture for messaging done before the email orchestration layer went live. Took 14 days.
Can I talk to this customer?
On request, with their permission.
See the AI control plane on your real files.
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