8. How the Platform Uses AI Lease Abstraction
As AI becomes part of lease accounting and administration technology, organizations should understand exactly what a vendor means when it says its platform uses AI.
AI lease abstraction can help organizations reduce the manual work involved in reviewing lease documents and extracting important information. However, not every AI-powered abstraction process works the same way.
Before choosing a platform, understand:
- What types of lease documents can be processed?
- Which lease terms and data points can the AI extract?
- How does extracted information move into the lease accounting system?
- How are complex clauses, tables, and other lease information handled?
- What happens when the system cannot confidently identify a data point?
- Can users review and correct extracted information?
AI capabilities should fit into your overall lease management process rather than operate as a disconnected feature.
9. How AI Lease Abstraction Accuracy Is Validated
Accuracy should be one of the most important considerations when evaluating AI lease abstraction.
Processing documents quickly provides limited value if your team must spend significant time identifying and correcting errors afterward. This is particularly important when extracted lease information will eventually support accounting, reporting, administration, or business decisions.
Ask potential vendors how they measure and validate AI lease abstraction accuracy.
Questions may include:
- How is accuracy tested?
- What validation process is applied to extracted information?
- How are exceptions identified and reviewed?
- How does the system handle complex or unusual leases?
- Is the AI continuously evaluated as documents and lease structures vary?
- What role does human lease expertise play in the validation process?
Visual Lease’s approach includes more than 40 intensive validations designed to evaluate extracted information before it becomes part of the broader lease data process.
Understanding a vendor’s validation methodology can give you a much clearer picture of what its accuracy claims actually mean.
10. How Your Data Is Protected When AI Is Used
Traditional software security requirements still apply when AI is introduced, but organizations should ask additional questions about how their information is handled by AI systems.
Lease documents can contain confidential financial, operational, and contractual information. Before allowing an AI system to process those documents, understand what happens to the information after it is uploaded.
Questions to ask include:
- Is customer data used to train the AI model?
- Where is lease information processed and stored?
- Which third-party AI technologies or infrastructure providers are involved?
- What contractual protections apply to customer data?
- How is access to lease information controlled?
- How does the vendor monitor and manage AI-related security risks?
These questions can be particularly important for IT, security, legal, and procurement stakeholders involved in the software evaluation process.
A vendor should be able to clearly explain how customer information is protected rather than simply stating that its AI is “secure.”
Choose a Lease Accounting System for Today’s and Tomorrow’s Needs
electing lease accounting software is not just about finding a solution that works today. It is about choosing a platform that can grow with your business and support your accounting, administration, reporting, data management, and technology requirements over time.
AI lease abstraction adds another consideration to that decision. Organizations should evaluate not only whether a platform offers AI, but also how the technology works, how accuracy is validated, how sensitive lease information is protected, and how AI-generated data fits into existing workflows.
Choosing a comprehensive lease accounting platform, such as Visual Lease’s platform, can help your business stay compliant with lease accounting standards while maintaining a more organized and efficient lease management process.
Take the time to evaluate these 10 considerations so you can choose a platform that meets both your current needs and your organization’s future goals.