Jili Properties
90% of Inbound Calls Automated
We built an AI-powered inbound receptionist for Jili Properties, automating 90% of their inbound calls. The system now manages inquiries, routes emergencies, emails the right team members, updates their CRM, and provides up-to-date property information — all without human input.
4.9 / 5
Trusted by
300+ clients
4.9 / 5
Trusted by
300+ clients
Challenge
Jili Properties was handling a large and varied volume of calls from tenants, buyers, and service partners. Many calls required follow-ups or routing to the correct department, while urgent maintenance or emergency requests needed immediate escalation. The manual process led to delays, missed messages, and inefficiencies in communication. The company needed a reliable, intelligent system to handle diverse inquiries and streamline information flow to the right people.
Solution
We developed a custom AI receptionist capable of understanding natural language and managing a wide range of call types. The agent could automatically answer general questions, send email notifications to relevant staff members, transfer emergency calls directly, and push call details into Jili Properties’ CRM. It also provided callers with real-time information about available properties and services, ensuring quick and accurate responses every time.
Implementation
Our team began by mapping out Jili Properties’ typical call scenarios — from maintenance requests to property inquiries. We then integrated the voice system with their CRM and internal communication tools, enabling automatic email notifications and data syncing. The AI was trained with Jili’s portfolio information, tone, and workflows to deliver consistent, brand-aligned responses. Within weeks, the system was fully operational and automating 90% of inbound calls.
Optimization
After launch, we continually analyzed performance data and call transcripts to refine responses and intent recognition. We fine-tuned escalation triggers for emergencies and enhanced CRM data entry for accuracy and reporting. These optimizations reduced manual follow-ups, improved team response times, and ensured no call or inquiry was ever missed. The result was a streamlined communication system that delivered faster service and greater operational efficiency across Jili Properties.
90%
Inbound Calls Automated
90%
Inbound Calls Automated
4-5
Hours saved per day
4-5
Hours saved per day
$70k
Amount saved per year
$70k
Amount saved per year
Process
"Brendan & Inflate helped automate essentially all of our main inbound phone calls. They've done an incredible job, we're super happy with how it works, and couldn't have asked for any better!"
Ryan Kinser
President
Process
"Brendan & Inflate helped automate essentially all of our main inbound phone calls. They've done an incredible job, we're super happy with how it works, and couldn't have asked for any better!"
Ryan Kinser
President
Case studies
Case studies
Explore more
case studies
Jili Properties
90% of Inbound Calls Automated
We built an AI-powered inbound receptionist for Jili Properties, automating 90% of their inbound calls. The system now manages inquiries, routes emergencies, emails the right team members, updates their CRM, and provides up-to-date property information — all without human input.
4.9 / 5
Trusted by
300+ clients
Scroll to explore
Challenge
Jili Properties was handling a large and varied volume of calls from tenants, buyers, and service partners. Many calls required follow-ups or routing to the correct department, while urgent maintenance or emergency requests needed immediate escalation. The manual process led to delays, missed messages, and inefficiencies in communication. The company needed a reliable, intelligent system to handle diverse inquiries and streamline information flow to the right people.
Solution
We developed a custom AI receptionist capable of understanding natural language and managing a wide range of call types. The agent could automatically answer general questions, send email notifications to relevant staff members, transfer emergency calls directly, and push call details into Jili Properties’ CRM. It also provided callers with real-time information about available properties and services, ensuring quick and accurate responses every time.
Implementation
Our team began by mapping out Jili Properties’ typical call scenarios — from maintenance requests to property inquiries. We then integrated the voice system with their CRM and internal communication tools, enabling automatic email notifications and data syncing. The AI was trained with Jili’s portfolio information, tone, and workflows to deliver consistent, brand-aligned responses. Within weeks, the system was fully operational and automating 90% of inbound calls.
Optimization
After launch, we continually analyzed performance data and call transcripts to refine responses and intent recognition. We fine-tuned escalation triggers for emergencies and enhanced CRM data entry for accuracy and reporting. These optimizations reduced manual follow-ups, improved team response times, and ensured no call or inquiry was ever missed. The result was a streamlined communication system that delivered faster service and greater operational efficiency across Jili Properties.
90%
Inbound Calls Automated
4-5
Hours saved per day
$70k
Amount saved per year
Process
"Brendan & Inflate helped automate essentially all of our main inbound phone calls. They've done an incredible job, we're super happy with how it works, and couldn't have asked for any better!"
Ryan Kinser
President
Case studies
Explore more
case studies
4.9 / 5
Trusted by
300+ clients
Challenge
Jili Properties was handling a large and varied volume of calls from tenants, buyers, and service partners. Many calls required follow-ups or routing to the correct department, while urgent maintenance or emergency requests needed immediate escalation. The manual process led to delays, missed messages, and inefficiencies in communication. The company needed a reliable, intelligent system to handle diverse inquiries and streamline information flow to the right people.
Solution
We developed a custom AI receptionist capable of understanding natural language and managing a wide range of call types. The agent could automatically answer general questions, send email notifications to relevant staff members, transfer emergency calls directly, and push call details into Jili Properties’ CRM. It also provided callers with real-time information about available properties and services, ensuring quick and accurate responses every time.
Implementation
Our team began by mapping out Jili Properties’ typical call scenarios — from maintenance requests to property inquiries. We then integrated the voice system with their CRM and internal communication tools, enabling automatic email notifications and data syncing. The AI was trained with Jili’s portfolio information, tone, and workflows to deliver consistent, brand-aligned responses. Within weeks, the system was fully operational and automating 90% of inbound calls.
Optimization
After launch, we continually analyzed performance data and call transcripts to refine responses and intent recognition. We fine-tuned escalation triggers for emergencies and enhanced CRM data entry for accuracy and reporting. These optimizations reduced manual follow-ups, improved team response times, and ensured no call or inquiry was ever missed. The result was a streamlined communication system that delivered faster service and greater operational efficiency across Jili Properties.
90%
Inbound Calls Automated
90%
Inbound Calls Automated
4-5
Hours saved per day
4-5
Hours saved per day
$70k
Amount saved per year
$70k
Amount saved per year
Process
"Brendan & Inflate helped automate essentially all of our main inbound phone calls. They've done an incredible job, we're super happy with how it works, and couldn't have asked for any better!"
Ryan Kinser
President
Process
"Brendan & Inflate helped automate essentially all of our main inbound phone calls. They've done an incredible job, we're super happy with how it works, and couldn't have asked for any better!"
Ryan Kinser
President
Case studies
Case studies
Explore more
case studies
4.9 / 5
Trusted by
300+ clients
4.9 / 5
Trusted by
300+ clients