Jones Lang LaSalle
Jones Lang LaSalle has 3 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 3 countries. Key partners include Databricks, hipages.
Hyperscaler mix
See whether Jones Lang LaSalle's cases are powered by Microsoft, AWS, GCP, or multiple providers.
Reported outcomes
2 cases report measurable results
−59%
Sustainability & resources
median · 1 metric
+185%
Revenue & growth
median · 1 metric
Medians of results published in Jones Lang LaSalle cases, normalized for comparability. See all benchmarks →
Evidence persistence
1 of 1 judgeable case is still publicly referenced · 1 show the organization expanding AI use.
Durability of public evidence, not whether systems remain in production. How this is measured →
Technology snapshot
What Jones Lang LaSalle uses across visible cases
Copilot & AI Assistants appears in 1 of 3 indexed cases; 8 named technologies are mentioned, led by Azure.
Capability mix
All Use Cases (3)
Jones Lang LaSalle leverages AI to transform real estate operations and sustainability
Jones Lang LaSalle (JLL), a global real estate services firm, is implementing AI-powered solutions to enhance operational efficiency, sustainability, and leasing management in commercial real estate.JLL uses Microsoft Azure AI solutions, including generative and agentic AI, for portfolio analytics, facility management, and investment optimization.The firm has adopted AI-driven PropTech to enable functions such as document standardization, facility automation using IoT data, price modeling for investments, and real-time customer engagement through chatbots.JLL’s solutions deliver actionable insights for investors, tenants, and property managers while enabling data-driven decision making across the portfolio.AI has also led to improved management of energy consumption in buildings, enabling ‘smart space’ utilization, and supporting the net-zero agenda.AI adoption by JLL has enabled more responsive, efficient, and sustainable property management, aligning with global trends toward decarbonization and green building standards.Key case studies cite energy savings of up to 59% and ROI improvements surpassing 700% by deploying AI-powered building management solutions.JLL’s systematic approach to AI integration includes piloting technology, implementing data quality protocols, and regulatory compliance regarding privacy and emissions reduction.
Bricks and Agent streamlines property maintenance processes across Australia
Bricks and Agent, a proptech innovator based in Australia, faced the challenge of highly manual and complex property maintenance processes exacerbated by high staff turnover, parti...
Jones Lang LaSalle revolutionizes real estate client insights and efficiency
Jones Lang LaSalle (JLL), a global real estate services leader, faced challenges from disparate and inconsistent commercial real estate (CRE) data, hindering client insights and operational efficiency. To address this, JLL partnered with Databricks and Microsoft to implement Azure AI Services, including Azure Databricks and a conversational AI analytics layer in its JLL Azara platform.This AI-driven solution aggregates data across portfolios, democratizes insights, and empowers clients to ask complex questions using natural language. What previously took months of engineering can now be done in minutes or seconds, accelerating business intelligence for facility management, workplace trends, and sustainability initiatives. The solution is integrated with JLL Falcon, their proprietary AI platform, leveraging Microsoft's cloud capabilities for security and scale.Since implementation, JLL's clients can measure workplace performance, discover cost savings, and address sustainability goals more efficiently. The platform provides actionable, real-time data, enhancing decision-making at all business levels and across industries.JLL’s collaboration with Microsoft and Databricks exemplifies the use of cloud-based AI analytics to transform real estate services, reduce operational costs, and support rapid, personalized client insights.