AI for real estate: your leases can answer, your service charges reconcile.

Leases, mandates, sale agreements, diagnostics, co-ownership rules, fund calls, service-charge invoices: real estate produces long, structured documents, consulted for years. It is ideal material for augmented search and reconciliation.

The use cases above read by profile, in your vocabulary. They describe possibilities: what applies to you is decided during the diagnostic, on your volumes and your business software.

The most mundane task is also the most profitable: finding a clause, an indexation date, a security deposit or an inventory by asking in natural language, instead of reopening file after file.

This is the principle of private AI: a self-hosted model that indexes your leases, mandates and rules and answers from your own documents, without any of them leaving your walls. Thirty seconds for what today takes long minutes, file open.

Confidentiality is not negotiable in this business: personal data of tenants and co-owners, financial situations, disputes. The model runs on your premises, and no client data goes to a US API.

Service-charge invoices reconciled against contracts and voted budgets, fund calls reconciled against payments received, discrepancies and unpaid amounts flagged with their history: this is the document processing circuit applied to property management and lettings.

The regulatory deadline concerns it directly: from 1 September 2026, every company established in France must be able to receive electronic invoices, under the reform led by the French tax administration (DGFiP). Supplier invoices will arrive as structured data, ready to reconcile.

The rule stays the same everywhere: the machine reads, reconciles and alerts; decisions stay human. An allocation or a reminder never goes out without approval.

A French Odoxa survey finds that 12% of employees already use AI at work, and nearly one in two have never been trained for it. In an agency or a property management office, that can mean leases or tenancy situations pasted into a public assistant, on a personal account.

The first step is a written framework: an AI-usage register, a signed one-page policy, company accounts. It is also what the EU AI Act has required since February 2025: demonstrable AI-literacy measures.

If you expose a conversational agent to the public, on your website or your listings, the transparency obligation of 2 August 2026 will apply to you: it must disclose that it is one.

Everything above describes possibilities; the diagnostic turns them into decisions, on your figures. The five-stage protocol applies: Diagnostic, Scoping & compliance, Pilot, Deployment, Managed operations.

The pilot is chosen small and reversible: one building, one lease type, one invoice flow. We are paid for the project, never for reselling licences: the choice of components follows your situation, not a catalogue.