Mark Taylor Case Study
The AI that could see the data won.
A head-to-head under one operator: the next best competitor against Union's AI CRM.
Mark Taylor ran two of its communities on two different AI systems over the same stretch last year. One used the next best competitor. The other ran on Union. We tracked how many calls each AI handled start to finish, with no human stepping in.
Union didn't just edge ahead. It resolved 71% of calls end-to-end against 47% for the next best competitor. Today, Union communities are resolving more than 80% of calls.
Calls handled end to end, no human handoff
→ 80% today
Two Mark Taylor communities, same market, same period. The next best competitor worked from a synced copy of the data. Union's AI worked on the live record.
Leaner teams, better service.
Mark Taylor centralized 35 communities on Union and gave its leasing teams their time back.
With Union answering and qualifying calls, Mark Taylor moved to centralized specialist teams without giving up the white-glove promise. Agents stopped chasing the phone and started running tours.
Powered by Juno, Union's AI for voice and chat, with Agent Assist and the Union CRM.
100%
Call answer rate: Up from the 30–40% industry average
15%
Reduction in personnel costs through centralization













