CRES Real Estate Lease Abstraction
CRES Lease Abstraction combines AI-assisted abstraction, human review, document generation, data extraction, and downstream automation in one connected commercial real estate workflow.
Lease Abstraction Is Common. Consistent Lease Abstraction Is Harder.
The original lease is only the beginning. Amendments, commencement agreements, assignments, and other related documents can change the terms your team needs to understand.
Producing a useful abstract means reconciling those changes, checking key provisions, and presenting the result according to your organization’s standards.
AI can help with the analysis. But a faster draft is not the same as a repeatable process. Your team still needs consistent instructions, controlled source documents, and a clear path from review to a usable deliverable.
More Than Uploading a Lease to AI
General-purpose AI can analyze lease documents. CRES connects that capability to your organization’s standards, review process, and ongoing operations.
- Reusable Lease Profiles
- Controlled Source Documents
- Multi-Document Reconciliation
- Structured and Traceable Results
- Interactive AI Review
- Standardized Word/PDF Publishing
- Downstream Operational Processing
Ask, and you shall have it! CRES makes it easy by allowing you to just tell what you want to ChatGPT integrated with CRES. CRES then creates your custom Workflow Type to test and deploy. You can create four types of Workflow Steps for four types of tasks including Regular Task, Approval Request Task, Document Automation Task, and Robotic Process Automation (RPA) Task.
CRES harnesses the power of OpenAI’s Chat GPT for data extraction from documents stored in SharePoint libraries. For example, it performs lease data extraction from lease agreements, or loan critical dates, terms & conditions from loan agreements. It seamlessly captures key information from both structured and unstructured documents to drive further automation using our RPA solution. This automation eliminates manual data entry and minimize errors.
Both CRES Workflow Management and Document Data Extraction are integrated with robust RPA tools. Automate mundane and repetitive tasks across various systems with minimal human intervention. Such as data entry in MRI or Yardi using lease data extraction from lease agreements. Our RPA capabilities integrate smoothly with your existing processes, enabling more efficient and error-free operations.
CRES enables users to track and manage workflows on-the-go, providing executives with the ability to review and approve workflows using their mobile devices.
Automation with CRES can be on-demand or scheduled. You can link workflows to critical dates in your real estate portfolio, trigger workflows based on events or have one workflow trigger another based on business requirements.
- Scheduled Workflows
- Critical Dates Based Workflows
- Event Based Workflows
CRES Business Intelligence offers various interactive dashboards for deeper analysis of workflows across your portfolio and departments. This provides valuable insights into your business processes data and helps you optimize your workflows.
CRES brings document preparation, AI analysis, human review, publishing, and operational use into one repeatable process.
- Prepare — Create the Lease Abstraction, select the appropriate Lease Profile, and confirm the source documents to be analyzed.
- Analyze — AI reviews the selected lease package and determines the current governing lease position.
- Review & Refine — Users review the structured abstract, citations, and issues, then refine the result with AI as needed.
- Publish — Approve the final Lease Abstract and generate the standardized Word document and PDF.
- Operationalize — Move approved lease information into CRES downstream extraction, validation, and operational processes.
Define your standards and reuse them across applicable leases. CRES Lease Profiles guide the required sections, level of detail, business perspective, areas of emphasis, and final document format.
A retail landlord, an office tenant, and an industrial asset manager can use different profiles without reinventing the process for every lease.
Your team selects the source documents, reviews the abstract, and decides when it is ready to publish. Interactive AI refinement lets reviewers investigate questions and request changes within the same abstraction:
“Recheck the renewal option against the Second Amendment.”
“Explain which document supports this commencement date.”“Show both annual and monthly rent in the schedule.”
AI assists with the analysis. Your team directs the review and controls publication.
Publish the reviewed Lease Abstract into a versioned Word document and PDF using the template associated with your Lease Profile.
The final PDF can then enter CRES’s existing data extraction and validation processes. Validated information can support rent schedules, lease options, responsibilities, key dates, and other operational lease records.
Reviewed Abstract → Word/PDF → Data Extraction & Validation → Operational Lease Data
As part of the broader CRES platform, this information can support ongoing portfolio processes and, where configured, downstream systems such as MRI or Yardi.
Apply consistent standards, reduce repetitive preparation, retain human control, and put traceable lease information to work across your portfolio.
An amendment may change rent without changing assignment rights. A commencement agreement may establish a date that was only estimated in the original lease.
CRES analyzes the selected documents together to help determine what changed, what remains effective, and what requires further review. The goal is a current-state Lease Abstract—not a separate summary of every file.
The analysis can also reflect the lease type, from office expense stops and retail co-tenancy provisions to industrial repair responsibilities.
Understand the terms that apply today, with supporting sources and unresolved issues available for review.
Get a Lease Abstract organized for professional review and ongoing use.
Key dates, financial terms, rent schedules, lease options, responsibilities, and other required provisions can appear as structured fields, tables, and readable narratives, according to the selected Lease Profile.
Source citations help reviewers trace material information back to the lease documents. Calculations can be reviewed, while missing information, conflicting provisions, and other issues can be flagged for attention.
See the lease terms, supporting evidence, and review items in one organized abstract.
See how CRES brings your abstraction standards, AI-assisted analysis, human review, and usable outputs together—from the first lease document to ongoing portfolio operations.
AI-assisted lease abstraction uses artificial intelligence to help analyze lease documents and prepare a summary of important terms. CRES adds reusable standards, multi-document reconciliation, structured results, and human review to support a repeatable commercial real estate process.
These tools can analyze lease documents. CRES provides a connected application for selecting source documents, applying reusable Lease Profiles, reviewing and refining structured results, publishing Word/PDF deliverables, and passing the final result into configured downstream processes.
Yes. Users can include the original lease, amendments, commencement agreements, assignments, estoppels, and other relevant documents. CRES analyzes the selected package together to help establish the current lease position and identify matters requiring review.
Yes. Lease Profiles define the required sections, perspective, detail, and presentation preferences. The associated Word template controls the formal document format, allowing different standards for different customers, lease types, and business needs.
CRES can generate the Word and PDF deliverables. The final PDF can then enter existing CRES extraction and validation processes, allowing validated lease information to support operational records and downstream systems where configured.
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