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linxa

AI for property management companies

A property manager handles hundreds of units, each with tenants, owners and tradespeople writing in. We build AI that sorts these messages, drafts replies and prepares repair orders. Your managers decide and sign.

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What slows you down today

  • An inbox full of tenant requests

    Broken dishwashers, noise complaints, parking questions and move-out dates all arrive in the same inbox, in several languages, and need to reach the right person.

  • Repair orders by hand

    For each damage report someone checks the lease, finds the right tradesperson for the building and writes the order. Simple cases take as long as complex ones.

  • Answers hidden in documents

    House rules, leases, owner agreements and cantonal forms sit in different folders. Finding the clause that answers a tenant's question takes time.

Where AI helps

Example projectIllustrative example with typical figures, not a client reference.

Tenant inbox for a management company

Starting point
A management company looks after about 1,500 units in the Fribourg and Bern region. Its shared inbox receives around 400 tenant emails a week in German and French, sorted by hand each morning.
What we build
Each email is classified by unit and topic and assigned to the right manager. Damage reports get a draft repair order, routine questions a draft reply, and the manager approves both with one click.
Expected result
We would expect sorting time to drop to a few minutes a day and first replies to tenants to go out typically within hours instead of days.

Questions and answers

In most cases yes, through an interface or through structured exports and imports. We check this in the AI Discovery before anything is built.

Let's look at your case

Tell us which task takes the most time. In a short call we say honestly whether AI is worth it and what a first step would cost.

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