INDUSTRY · SOCIAL HOUSING

AI for social housing providers: your tenants get an answer faster.

Complaints, work orders, allocation files: AI sorts, checks and prepares. Your customer officers, property managers and committees decide, and keep the local contact.

Talk about your project See how it works

A 30-minute conversation with the team that will run your project, with no commitment.

  • Promologis, a social housing provider, trusts us
  • Tenant data hosted on your premises if needed
AI IN SOCIAL HOUSING
For
Customer service, property, management
Who decides
Your teams
Updated
October 15, 2026

THEY TRUST US

  • Celio
  • Plein Sens
  • Shiseido
  • Green-Got
  • Promologis
  • Bridgestone

IN BRIEF

How does AI help a social housing provider?

In a social housing organization, AI helps where requests pour in and documents pile up: tenant complaints, repair requests, housing applications, relations with local authorities and reservation-rights holders.

It sorts, checks completeness, finds the contract or procedure, and prepares a reply or a work order. A person reviews and decides: the Union sociale pour l’habitat, the French social housing federation, points out the risk of standardized replies, and close local relations remain at the heart of the job.

For housing allocation, AI only checks the documents: the decision belongs to the committee. Tenant data stays within your perimeter, hosted on your premises if needed.

FIVE USE CASES

Complaints · Work orders · Allocation files · Institutional relations · Internal procedures.

  • Executive management
  • Customer service
  • Property
  • Rental management
  • IT

Updated October 15, 2026.

WHAT YOUR TEAMS FACE

Requests that come from everywhere.

What customer service and property teams tell us.

  • CHANNELS

    “Complaints come in by phone, email, app and through the caretaker.”

  • REPAIRS

    “For every fault, we have to find the maintenance contract.”

  • FILES

    “Allocation files come back incomplete.”

  • RELATIONS

    “The history with each municipality depends on a single person.”

WHO IT’S FOR

  • Executive management
  • Customer service
  • Property
  • Rental management
  • Institutional relations

USE CASES

AI prepares, your teams decide.

The use cases we build with social housing providers, connected to your current tools.

  • Complaints sorted

    AI sorts complaints from every channel and prepares the reply. The customer officer approves.

  • Work orders prepared

    AI qualifies the fault, finds the maintenance contract and prepares the work order. The property manager approves.

  • Complete allocation files

    AI checks each application and flags missing documents. The committee decides.

  • Institutional relations tracked

    Contacts, meetings, commitments: the history stays in-house.

  • Procedures at hand

    A Company Brain answers field teams’ questions about your procedures.

  • An AI policy with your teams

    Shared rules, written with IT and shared with employee representatives.

AI-READY

Your AI agents read and act in the tool, through MCP.

MCP is an open standard: a universal plug, under your control, between your software and AI. Your IT department approves every access.

  • SAMPLE REQUESTS TO YOUR AGENTS
  • “Which complaints from this residence are overdue?”
  • “Which contractor covers this boiler?”
  • “What was discussed with this municipality this year?”

BEFORE / AFTER

What changes for your tenants.

TODAYWITH AI, APPROVED BY YOUR TEAMS
ComplaintEntered by hand, then passed on.Sorted on arrival, reply prepared and reviewed.
FaultContract searched for in the files.Contract found, work order prefilled.
AllocationMissing documents discovered in committee.File checked before it goes to committee.

Every gain is measured in your organization, from your starting point.

OUR METHOD

Four steps, with your field teams.

The four steps of our method, in a loop. Each can be done on its own; together, they organize AI across the whole organization.

  1. Inspire your leadership team

    A keynote built on cases from your business. Your leadership decides where AI will be useful, and where it will not.

  2. Map your operations

    We spot the bottlenecks, rank use cases by gain and difficulty, and name the tools to keep.

  3. Bring your teams on board

    In a hands-on session, everyone arrives with a real problem and leaves with the AI agent that solves it. An AI policy sets the shared rules.

  4. Build with the AI Factory

    Our engineers build AI-ready business tools with you. You keep the keys.

You take back the keys.

The code and data stay with you, documented. We keep improving the tool with you, or you take it over. This is step 4 of our method: Build with the AI Factory.

A LIVE BETA

Promologis, social housing provider.

PROJECT SHEETPromologis
The client
Promologis, a social housing provider.
What we build
START, its institutional relations tracking tool.
Project status
Beta launched with the teams in October 2026.

The history of every relationship stays in-house.

See the use case: CRM for institutional relations.

Talk about your project

Reference cited with the client’s consent. We publish no figures without their consent.

YOUR QUESTIONS

Questions from social housing providers.

How do social housing providers use AI today?

Mainly for tenant relations (sorting requests, preparing replies), property maintenance and document analysis. The Union sociale pour l’habitat set up a working group on the topic in 2024.

Can AI answer tenant complaints on its own?

We do not recommend it. AI sorts complaints and prepares the reply; the customer officer reviews, adapts and sends it. Local relations stay human.

Can AI play a role in housing allocation?

Only to check that the file is complete. The decision belongs to the allocation committee. An AI system that assessed eligibility would face stricter requirements under the AI Act.

Is tenant data protected?

Yes: it stays within your perimeter, hosted in France or on your premises if your data requires it. Access rights are set with your IT department.

Do we need to change our property management software?

No. We connect AI to your current tools. If an in-house tool is holding you back, we can rebuild it AI-ready.

How do we involve field teams and employee representatives?

From the scoping stage: hands-on sessions with the teams, a shared AI acceptable use policy, and usage tracked over time.

Does AI decide in place of your teams?

No. AI prepares: it sorts, checks, summarizes and writes a first draft. A named person reviews and decides. Every AI action is logged.

SOURCES

The texts and studies cited on this page.

Every figure on this site is sourced. See all our sources.

LET’S TALK ABOUT YOUR PROJECT

Let’s talk about your tenants and your teams.

Thirty minutes to understand how your requests flow in, and tell you where we would start.

Your contact

The AI Origin team that runs the projects

You talk directly with the people who will run your project, from scoping to go-live.

No specific project yet? Start with a hands-on session: everyone brings a real problem and leaves with the AI agent that solves it. See step 3, Bring your teams on board

Let’s prepare the conversation.

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