AI That Builds Value
.svg)
%20(1).png)
The real estate and property industry is under increasing pressure to deliver higher yields, better tenant experiences, and faster reporting for investors. With data scattered across legacy systems, many property groups struggle to unlock insights that drive efficiency and growth.
Our client, a leading property management group, partnered with us to transform its data and AI foundations — building a smarter, more resilient real estate business.
Unified property, leasing, and financial data into a single platform while introducing predictive analytics and GenAI-powered customer journey for buyers and tenants — driving smarter customer experiencescc and operational efficiency.
The Challenge
The client faced complex challenges managing diverse assets and investor expectations in a volatile market.
Business Challenges:
- Fragmented property, tenant, and financial data across multiple legacy systems.
- Slow and manual reporting cycles limiting timely decisions on investments and occupancy.
- Inefficient leasing and customer service processes driving higher operational costs.
- Lack of predictive capabilities to anticipate rental trends or optimize portfolio performance.
IT Challenges
- Disconnected data silos with inconsistent quality and no central source of truth.
- Legacy property management systems with limited scalability and integration capability.
- Minimal automation for data ingestion, analytics, and customer engagement.
- No AI/ML or GenAI capabilities embedded into the operating model.
Our Approach
We partnered with the client to modernise their property data landscape and embed AI across operations:
- Data Platform Foundation (DPaaS): Consolidated property, tenant, and financial data into a modern cloud data lakehouse with automated pipelines.
- Decision Science (DSaaS): Deployed predictive models for rental yield forecasting, portfolio optimization, and valuation insights.
- GenAI Services: Introduced AI-powered tenant and investor assistants to handle lease inquiries, FAQs, and reporting.
- Enterprise Data & Architecture: Established reference models, governance, and a roadmap for AI adoption across the value chain.
Outcomes
The client cut reporting and admin effort by 30%, enabled real-time portfolio insights, and delivered AI-powered tenant engagement — boosting efficiency, customer satisfaction, and investment confidence.
- 30% reduction in manual reporting and administrative workload.
- Faster decision-making with real-time insights into portfolio performance and occupancy.
- Improved customer experience via GenAI chatbots offering 24/7 tenant and investor engagement.
- Greater investment confidence with predictive scenario analysis for market and asset planning.
- Future-ready foundations for scaling AI across property development, facilities management, and investor services.
Program Artefacts
Program Technology Stack
.png)
.png)
.png)
.png)
Before, we were marketing in the dark. Now, we know who our customers are, what they want, and how to speak to them. The 360° view has not only increased our revenue but also strengthened our customer relationships.
Sarah Langston, VP of Marketing, NovaRetail Inc.
.png)
.svg)
