For decades, success in real estate was determined by access to land, capital, and relationships. According to the latest EY-Parthenon and CREDAI report, GenAI in Indian Real Estate: Scaling the Next Frontier of Innovation, that equation is beginning to change. The report argues that the next phase of industry leadership will be defined by how effectively developers convert fragmented data into actionable intelligence.
While much of the current AI discussion remains focused on tools and pilots, the report presents a broader perspective around GenAI becoming an operating model issue rather than a technology deployment exercise.
The CIO challenge is no longer experimentation
The report identifies a familiar challenge for enterprises. Real estate remains heavily dependent on people, manual processes, disconnected systems, and fragmented information sources, resulting in reactive decision-making and slower execution cycles.
For CIOs and digital leaders, this highlights a core priority; creating a unified data foundation before scaling AI initiatives.
The report repeatedly emphasises that GenAI delivers value only when supported by structured enterprise data, integrated workflows, and a single source of truth across customers, projects, transactions, financing, and channels.
Where the business case becomes compelling
The report estimates that a comprehensive GenAI transformation could contribute between 3% and 10% in cost and schedule optimisation while significantly improving workforce productivity across operations, finance, procurement, pre-sales, and post-sales functions.
The report projects:
- 30%–50% improvement in sales performance
- Up to 15% improvement in customer experience
- 20%–30% reduction in land-to-launch cycle times
- 10%–20% reduction in project overruns through predictive monitoring and controls
These gains span the entire value chain, from land acquisition and project planning to sales, customer engagement, and post-sales service.
For CIOs, the takeaway is that GenAI should not be evaluated as a standalone productivity tool. Its value emerges when it becomes embedded across business workflows.
The operating model question
One of the report’s strongest themes is that technology adoption alone will not create differentiation.
The authors argue that winning organisations will be those that redesign operating models around AI-enabled decision-making rather than simply adding GenAI tools to existing processes.
The roadmap outlined in the report includes eight foundational elements: strategy alignment, organisational readiness, data governance, technology selection, AI talent development, process redesign, risk management, and scalable infrastructure.
This mirrors a pattern seen across other industries where successful AI deployments have depended less on algorithms and more on organisational change.
The next move
The report suggests that GenAI’s long-term value lies in accelerating decisions, improving coordination across functions, and reducing execution friction. The organisations likely to benefit most will be those that treat AI as a business transformation initiative rather than an isolated innovation program.
The strategic conversation is shifting from “Where can we deploy GenAI?” to “How do we redesign the enterprise around intelligence-driven workflows?”
In the coming years, competitive advantage in real estate may increasingly come from operational intelligence rather than physical assets alone. The firms that establish strong data foundations and embed AI into core business processes today may be better positioned to capture that advantage tomorrow.