From lease abstraction to tenant onboarding, automated end-to-end.

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 Whenever a lease is amended or a tenant is replaced, the abstraction is out of date, and asset managers lose visibility into exposure and cashflow.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 solves it

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. New amendments are re-processed automatically, keeping the dataset live.

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

The challenge

Data room review for acquisitions takes weeks of analyst and legal time. Legal and financial risks hide in long documents, teams scramble before exclusivity expires, and bids are placed with incomplete information, or exclusivity is lost to faster competitors.

How Lunnoa solves it

Agents parse every document in the data room, flag red flags against your DD playbook (title issues, environmental risk, tenant covenant strength, lease weaknesses), and produce a structured DD summary with citations back to the source documents.

Outcomes

• DD cycle compressed from weeks to hours
• Higher-confidence bids, backed by complete analysis
• Consistent DD quality across every deal
• Faster exclusivity-to-close conversion

The challenge

Tenant onboarding spans 3–4 weeks of back-and-forth: credit checks, document collection, lease drafting, negotiation, signatures. Deals stall; tenants drop out; leasing pipeline converts poorly.

How Lunnoa solves it

Automated credit checks, document collection via tenant portal, generation of lease templates with tenant-specific terms, and e-signature routing through DocuSign, with property and leasing teams notified only when human judgement is required.

Outcomes

• Onboarding cut from weeks to days
• Higher tenant satisfaction and lower drop-out
• Consistent lease terms: fewer errors and exceptions
• Leasing teams focus on negotiation, not admin