Predict and Prevent Rent Arrears with AI


What We Do

How Pivigo's AI Solutions Can Help Housing

Operational Efficiency

Income teams need to strike a balance between collection and care. Existing solutions provide too many cases with little or no prioritisation

Propensity To Pay

We prioritise tenant contact in order of a tenant's likelihood to make a payment, ensuring that collection efforts have the greatest impact

Smart Caseloads

Reduce your caseload by 60%, helping you to cut through the noise and free up time, focusing on priority cases and prevention


To hep your identify where AI can make your business better, we work with a 3-step approach:

How it works


Identify and value the value to be gained from AI in your business.


Build rapid prototypes to illustrate the benefits.


We deliver and manage the services you use every day.

Blogs & Case Studies

Read our case studies to see where we've used AI to successfully tackle problems in the housing sector.

More in this sector

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AI in Social Housing - Prevention is Better Than Cure With Arrears

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How AI is Transforming Social Housing

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"The project has demonstrated that moving towards data driven management approaches doesn’t
have to involve huge levels of up-front investment."

"I would encourage other councils to think as to what problems they could solve with this approach and think that through the open development and sharing of our work have a great opportunity to push the sector forward."

"Camden has worked with Pivigo over the last 6 months to implement their innovative AI solution. As a technology and transformation leader in local government, it's clear that technology like this will re-shape how arrears are managed and tenants supported, and we’re proud to be early adopters."

Book Your Demo

Contact us today to get in touch and discover what Pivigo can do for your housing association.

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Confidential advice
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Download the Guide

Download our complete guide on how AI is transforming social housing, reducing caseloads, predicting rent arrears and propensity to pay, and making smart recommendations on sustainable tenancies.

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