Unframe releases the 2025 Enterprise AI Trends Report
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Every global real estate firm sits on valuable data in thousands of leases - contracts that govern billions in rent, obligations, and risk. Yet for most, this intelligence is locked away in PDFs and filing cabinets. The cost isn’t just inefficiency. It’s slower deals, hidden risks, and unrealized growth.
Manual lease abstraction has long been treated as a back-office chore, but in today’s market, where agility, transparency, and scale define competitiveness, that model is no longer sustainable. According to Gartner, 80% of enterprise data remains unstructured, locked in emails, call transcripts, documents, and support tickets — and lease agreements are among the most costly examples. Yet enterprise data strategies have historically focused on the structured 20% in databases and tables. Not by design, but due to the limitations of pre-AI computing.
AI changes everything. What was once a tedious, error-prone process becomes a strategic capability. nOne that powers growth, reduces risk, and creates competitive advantage.
Rethink leases as living data infrastructure
A lease encodes the economics of every asset: revenue flows, obligations, risks, and tenant relationships. Yet most organizations still operate with fragmented, unstructured lease data. The consequences are real: hidden risks, slow deal cycles, and limited visibility into portfolio performance.
You can reframe leases from static paperwork into living data infrastructure. With AI-driven lease abstraction, organizations can:
This is not about incremental productivity gains. It’s about laying the foundation for a modern, data-driven real estate enterprise.
The promise of AI-driven abstraction lies in the ability to turn documents into data - consistently, at scale, and with high trust. Here’s how it works:
A global commercial real estate firm faced thousands of lease agreements scattered across disconnected systems, forcing brokers and analysts to spend hours on manual abstraction.
With our lease abstraction solution, the firm:
“Unframe helped us quickly deploy a solution that gives our teams instant access to lease intelligence that used to take days to compile. It’s helping us serve clients faster, make better decisions, and reduce risk across our portfolio.”
— Global Head of Data & Analytics
Read the full case study.
The business case for AI lease abstraction is no longer theoretical - the numbers speak for themselves.
The message is clear. Leases stop being a cost burden and become a driver of competitive differentiation.
The next horizon is going beyond data to natural dialogue. Imagine your lease portfolio as a digital knowledge base you can actually talk to. With AI, this future is already emerging. Once leases are abstracted and structured, executives can:
McKinsey calls this kind of “super-agent AI” the next frontier in enterprise operations. Gartner projects that by 2027, 60% of enterprise knowledge workers will interact with documents primarily through conversational AI. For real estate, that means leases will no longer be compliance paperwork - they will become living, interactive data sources.
Lease abstraction with AI isn’t just an operational upgrade. It’s redefining how real estate organizations run. From back-office necessity to boardroom enabler, AI turns leases into infrastructure: structured, connected, and actionable.
Don’t let your firm lag behind. The winners in the next decade of real estate won’t simply be those with the largest portfolios, but those with the most intelligent ones.
Curious to see how these insights can apply to you? Connect with us for a custom demo. We’ll show you how our tailored AI solution can turn your leases into structured, searchable data. Security first – we always use anonymized info for demos.
