Smarter Leasing
The Evolution of
Lease Management Technology
The Early Era: Manual Tracking
and First-Gen Systems
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www.tangoanalytics.com
For decades, lease management relied on
spreadsheets, file cabinets, and
institutional knowledge. Administrators
tracked rent payments, term dates, and
obligations by hand, creating significant
risk exposure and limiting scalability. The
advent of first-generation lease
administration software brought
centralization and searchability, but little
automation.
2
Cloud Platforms and Automation
As cloud-based solutions matured,
companies gained the ability to manage
portfolios more efficiently and
collaboratively. Digital lease records
became easier to access, filter, and share.
Automation crept in with scheduled
reminders, template-driven workflows, and
structured data fields, but lease
abstraction, compliance tracking, and risk
mitigation remained largely human tasks.
The AI Shift
The past decade marked the arrival of
artificial intelligence in commercial real
estate. Early use cases focused on machine
learning (ML): a subset of AI that identifies
patterns in data and improves over time. In
2016, Tango began applying ML models to
retail site selection, building predictive
analytics tools to optimize revenue and
EBITDA across portfolios. These early AI
applications laid the groundwork for
deeper automation across the real estate
lifecycle.
