Real Estate

Automated lease abstraction and contract intelligence

Extract key clauses, rent escalations, and break options from commercial leases at scale, feeding directly into asset management systems.

The challenge

Commercial lease abstraction is typically outsourced at €300–500 per lease, takes weeks, and the output is static. Whenever a lease is amended or a tenant is replaced, the abstraction is out of date, and asset managers lose visibility into exposure and cashflow.

How Lunnoa runs it

  1. 1

    Ingest

    Pull the documents, events, or system records that start this process.

  2. 2

    Analyse

    AI agents read commercial leases end-to-end, extract rent schedules, escalations, break options, service charge terms, assignment clauses, and guarantees, and feed them into your asset management system.

  3. 3

    Decide or escalate

    Clear cases continue under policy; exceptions go to a person with a structured pack.

  4. 4

    Write back and prove

    Update systems of record and keep an attributable trail for review.

Systems touched

  • Yardi
  • MRI
  • SharePoint
  • lease archive

In the product

Step-by-step agent behaviour

Pull the documents, events, or system records that start this process.

Outcomes

  • Full portfolio abstracted in days, not quarters
  • A fraction of the cost of manual or outsourced abstraction
  • Always up to date: amendments are ingested automatically
  • Structured, queryable lease data across the entire portfolio

Built for teams that already take infrastructure seriously.

  • CTOs and platform teams evaluating fit with your reference architecture
  • Security and compliance reviewing data residency and access control
  • Operations teams that need attributable runs, not black-box automation
  • Builders who want unlimited usage under a flat licence