AI case study

JLLAgent assistance

Agents juggling fragmented systems and memory for life-safety calls. One platform + AI copilot cut onboarding from 6 weeks to 2.

Published

Key results

Staffing Decrease
11%
Projected Annual Gain
~$500K
Onboarding Time
2 weeks
vs 6 weeks

Result highlights

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The story

Context

A global real estate services company whose APAC Service Center handles 24/7 urgent support, including life-safety emergencies such as fires and elevator entrapments, requiring every client request to be routed accurately to the right vendor or contractor.

Challenge

Service agents operated on fragmented, on-premises systems spread across multiple vendors, causing delays in urgent support and long resolution...

Solution
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Scope & timeline

  • Genesys Cloud deployed in 3 months

Quotes

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The company

Commercial real estate services and investment management firm.

IndustryReal Estate & Construction
LocationChicago, IL, USA
Employees100K+

The implementation partner

Customer Science Group logo

Customer Science Group

customersciencegroup.com
Role in this case study

Supported JLL with the implementation of Genesys Cloud in three months

IndustryProfessional Services
LocationSydney, NSW, Australia
Employees51-250
Founded2014

The vendor

AI-powered customer experience orchestration platform for contact centers.

IndustrySoftware & Platforms
LocationMenlo Park, CA, USA
Employees5K-10K
Founded1990

Use case

JLL's Agent assistance is part of this use case:

Conversation Intelligence
45 case studies(+65% YoY)
Proven impact?
LowModerateVery Strong
7.3Strong
7.6Strongwithin Customer Service

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