AI-driven organizational transformation: Why people still matter more than technology

A global asset manager spent millions embedding an AI assistant into their core acquisitions process. A year later, adoption was below 20%. Why? Because transformation isn’t just about technology—it’s about people. According to JLL’s 2025 Global Real Estate Technology Survey, while 92% of companies are now piloting AI in corporate real estate, only 5% have achieved most of their objectives. There is plenty of work ahead, and the gap between experimentation and success isn’t just technical. It’s organizational. 

Transformation fundamentals  

Traditional organizational transformation research delivers a consistent message: you cannot transform an organization without transforming employee mindsets. If your people lack the right mindset and your current practices are flawed, a pure digital transformation will magnify those flaws and amplify their negative impact. 

The most successful transformations share three elements: 

1. North Star vision: Clarity about what you’re creating and why it matters 

2. Senior leadership commitment: Not just budget approval, but visible support and promotion of why and how the organization is going to change

3. Volunteer champions: Cross-functional teams of insiders who drive change from within.  Also known as the Inside-Out transformation. 

Research on organizations reveals that companies that empower the employees that are closest to the actual work will emerge stronger than those relying on top-down mandates alone. 

Using a team of external consultants can often fail in this regard. Only the people performing the roles have the insider knowledge of how the processes work, both within the software applications and in the broader context of emails, documents, discussions and relationships involved in the end to end workflow of each role. 

AI opens a new transformation frontier 

Here’s what has recently changed: AI enables us to re-engineer business processes in ways that were not previously possible – and to re-engineer them in a way that works best for the end users.  In many cases they can now be re-engineered by the end users themselves, through experimentation and training of models. 

This isn’t just theory. As a landmark 2026 World Economic Forum report,  Organizational Transformation in the age of AI  notes, “increasingly, organizations recognize that the greatest value from AI is not realized through standalone use cases but from embedding AI deeply into core workflows and operating models”. 

This is where organizational transformation principles and AI capabilities converge. End users can be directly involved in AI implementations, without having to start from scratch. 

The embedded AI revolution in commercial real estate 

Today’s PropTech startups are writing a new playbook. They are not producing enterprise-wide ERP, CRM, and HR platform overhauls. Rather, the successful players have identified small, powerful nuggets of competence that can be inserted in, or overlaid on existing ecosystems, filling gaps that have never been filled before. 

Consider two examples from JLL Spark’s portfolio: 

Jeeva – an agentic, AI-powered sales automation platform that streamlines the entire outbound sales workflow—from finding and enriching leads to personalized multi-channel outreach and booking meetings. 

“In capital markets, the hardest relationships to build are the ones you can’t find. Jeeva has been working with us to solve for just that – especially in private capital, where ownership is buried in LLC structures. It’s turned a once black box into an actionable pipeline.”
-James Holdt, Senior Associate, JLL Capital Markets – Quants

Ren – an AI-powered relationship intelligence platform designed for sales, finance, and commercial real estate professionals to identify, manage, and win business opportunities.

“Ren gives me a competitive edge in staying ahead of market intelligence. I rely on REN to deliver the freshest insights on clients, prospects, and business associates—helping me stay informed and responsive. The Ren agent’s ability to provide clarity and additional context via email has been invaluable, transforming how quickly I can act on emerging opportunities and maintain meaningful relationships.”
-Mike Sullivan, Senior Managing Director, Brokerage 

A call to innovators 

This new paradigm of embedded AI is creating immense opportunities for focused, agile startups. The future of PropTech lies not in replacing entire systems, but in augmenting them with targeted intelligence that solves specific, high-value problems.