Smarter Leasing
Understanding AI Readiness:
A Maturity Framework
As organizations navigate AI adoption, Tango encourages customers to assess their
readiness through the lens of the MIT Enterprise AI Maturity Framework. It outlines four
stages:
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Experimenting: Exploring initial use cases
and learning about AI capabilities.
Piloting: Building proofs of concept within
specific functions or teams.
Operationalizing: Adopting AI in day-to-day
workflows and rethinking how work is done.
Future-Proofing: Becoming an AI-native
organization, able to scale and adapt AI
across the enterprise.
How to Climb the Maturity Curve
Wherever your organization sits today,
progress is possible with the right
foundation:
Assess Readiness: Evaluate your data
quality, system integration, and internal
trust in AI tools.
Start with High-Impact Use Cases:
Lease abstraction and clause tracking
often show fast ROI.
Invest in Change Management:
Introduce AI as an assistant, not a
replacement, and focus on human
oversight.
Plan for Governance: Establish
guidelines for responsible use, bias
detection, and privacy compliance.
Think Cross-Functionally: Align AI
value with finance, legal, and
operations in addition to lease admins.
