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Smarter Leasing
3
Generative AI: Expanding AI's
Reach
With the rise of generative AI (GenAI), AI
moved from prediction to content creation.
Trained on vast datasets, GenAI tools like
large language models (LLMs) can now
generate text, summarize documents, and
respond to natural-language queries. In
lease management, this enables
capabilities like clause summarization,
semantic search, and intelligent Q&A.
Tango's Ask Tango feature, launched in
2023, is one example, allowing users to
query their lease data conversationally to
surface key insights in real time.
Agentic AI: The Next Frontier
In 2024 and 2025, we've entered a new
chapter of agentic AI. Unlike GenAI, which
reacts to prompts, agentic AI can act on
goals. These systems plan, decide, and
execute tasks with autonomy, interacting
with multiple data sources and systems
along the way. For example, an AI agent
could be tasked with reserving a specific
seat in a shared office space based on a
colleague's schedule, completing the task
autonomously based on a stated goal. In a
lease context, this means triggering service
tickets, scheduling critical updates, or
orchestrating multi-document reviews
based on portfolio events.
Tango has followed and often led this evolution. From predictive
analytics in retail to GenAI-powered abstraction, to the early stages of
agentic orchestration, Tango's platform reflects years of experience
applying AI in real-world commercial and corporate real estate
environments. What started as machine learning models for market
optimization has expanded into a cross-platform capability that
empowers legal, finance, and operations teams to make smarter
decisions, faster.
