How 24 agents kept closing deals when their only TC went on maternity leave with ListedKit AI
Company
Christie Peyton Team
Team
25 members
Location
New Jersey
The Team
Christie Peyton has sold over 3,000 homes across 25 years in real estate. Today she runs three teams across North and South New Jersey: a Zillow Flex team in the north with four agents, a Zillow Flex team in the south with six or seven, and a Realtor.com team in the south with around fourteen. That's roughly 24 agents, all funneling through one person: their transaction coordinator and executive administrator. She does everything.
The Challenge
New Jersey is a two-step state. You don't go straight to contract. You start with a proposal to purchase, then write the contract, then enter a three-day attorney review period. The deal isn't done until attorney review clears. Once it does, everything triggers at once: inspections, loan commitments, radon disclosures, title coordination. Their TC was managing all of those moving pieces for every agent on the team.
Before ListedKit, the team used Open to Close, and they hated it. Christie described it as “not user-friendly” and “awful.” It required extensive manual setup and data entry. Their TC was spending 30 minutes to an hour per file just on initial processing: manually entering information, counting calendar dates from the contract, and coordinating with inspectors, attorneys, and listing agents, all before she could send the first email.
When Christie asked her TC how many transactions she could handle at once, the answer was about ten. And that was with the TC working at full capacity.
“When she told me she was going on maternity leave, I was like, we are not prepared for you to leave. What are we going to do?”
The Decision
Christie was already exploring AI early, asking ChatGPT whether it could help with transaction management. ChatGPT pointed her to ListedKit. But the real urgency came when her TC announced her pregnancy. All of the team's operational knowledge (every process, every template, every coordination workflow) lived in the TC's head. There was no backup plan.
Christie rushed to get ListedKit set up. The TC had it for maybe a week or two before leaving, and she wasn't sold on it yet; she was about to have a baby, and learning a new system wasn't top of mind. Then one Friday, the text came: “Had a baby last night.” She was gone, weeks earlier than expected. And the team had to figure it out.
Before ListedKit
- Open to Close: manual, painful, "we wanted to strangle it"
- TC manually counting calendar dates and inputting information for 30–60 minutes per file
- All institutional knowledge locked in one person's head
- TC gone = complete operational breakdown
- No agent accountability for deadlines or tasks
After ListedKit
- Drop a contract in and Ava reads it, extracts dates, builds timelines
- Instant timeline extraction: contracts processed in minutes
- Agents self-serve: drop contracts in, ask Ava questions, run their own deals
- Business continuity: team survived surprise maternity leave with Ava
- "There were no excuses because it was in front of them"
The Solution
What happened next surprised everyone. Christie set up the checklists, met with the ListedKit team for help, and gave every agent the same instruction: drop your contract in here. It will do everything for you.
And they did. All 24 agents plugged into ListedKit. They dropped their contracts in, started asking Ava questions, and ran their own transactions. It wasn't perfect (Christie will tell you it was messy at first), but it worked. Agents knew when their inspection periods were over. They knew when loan commitments were due. They knew what to do next because it was right in front of them.
When the TC came back from maternity leave, she found Christie had already set up email templates and checklists. She cleaned things up, adopted the task templates that had been released while she was away, and started working alongside Ava. Now, instead of manually processing each file for 30–60 minutes, she drops the contract in and ListedKit has the dates ready.
Christie's reframe for the team was simple: the TC's job isn't to do the tasks anymore. Ava does the tasks. Her job is to make sure Ava is running correctly.
“Your job is to manage the AI now. She used to do the tasks of the transactions. Now Ava does that, and it's her job to make sure Ava's running correctly. If she can let go, she could do thousands of transactions.”
The Results
Their TC went from handling ~10 deals to 2–4x that capacity with Ava
2–4x capacity
Transaction setup dropped from 30–60 minutes to just a few minutes per file
30–60 min saved
24 agents kept closing deals when the TC unexpectedly went on leave
Zero downtime
The most dramatic proof of impact? The team survived without their TC. For weeks, 24 agents used ListedKit to manage their own transactions. It wasn't seamless (Christie is the first to say it was messy), but deals kept closing. No one dropped the ball because the deadlines and tasks were visible.
Now that the TC is back and working alongside Ava, the capacity increase is real. Christie estimates she can handle two to three times more transactions than before, maybe four times if they keep refining their setup. The time savings per file alone (eliminating the manual date counting and information entry) add up fast across dozens of active deals.
And the agents? They have no excuses. The deadlines are in front of them. The tasks are laid out. If something doesn't get done, it's not because nobody told them. It's because they didn't check.
“There were no excuses because it was in front of them. They knew when their inspection period was over. They knew when the loan commitment was due. There was no way they could get away from it.”
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