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Automated Arrears Prevention (AAP)

Automated Arrears Prevention (AAP) flags tenants predicted to fall into arrears in the next three months and then automates contact with a message of your choice. Helping prevent tenants fall into debt and avoiding the anxiety of arrears, whilst also reducing the future caseload of RentSense.

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Product In Action

This solution uses Supervised Machine Learning; a type of Artificial Intelligence. Its intelligence is based on the largest rent data set in the sector, over 2 million tenancies. By identifying tenants’ payment patterns (all via unintrusive data) and then matching similarities with tenancies across the UK, Automated Arrears Prevention is able to flag those tenants who will fall into arrears in the next three months and automates contact without officer intervention.

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Award Winning AI Tech

Mobysoft was recently awarded ‘AI Project of The Year’ at the Real IT Awards (RITA) 2024 for its Automated Arrears Prevention.

The winning entry showcased Mobysoft’s revolutionary AI-driven solution designed to enhance the efficiency of rent collection and arrears management. The platform has delivered remarkable results for Warwick District Council, significantly reducing tenant arrears and improving overall financial stability.

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Assisted Automation

Assisted Automation has been designed specifically for seamless contact resolution. Our omni-channel communication platform empowers social landlords to increase their reach with tenants, driving early intervention and arrears performance, all without the need for direct human intervention by officers.

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Product In Action

Mobysoft Assisted Automation helps income teams create and manage automated campaigns that drive effective, timely and appropriate messages to tenants.

Simply select the tenants or cases that required automating – this can be based on rules, patches, unactioned cases and so on – and the contact can then be automated. This delivers tangible results, including increased arrears collection, fewer tenants
in debt, and decreased caseload.

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Automated Worktray Manager (AWM)

The Automated Worktray manager platform helps housing providers maximise productivity and the value of their resources. Automation delivers a vastly reduced caseload for officers, by automating contact and action for specific arrears cases, in turn freeing up skilled officers’ time to focus on more complex cases. Not only does it reduce workload, it improves performance and outcomes for tenants.

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Product In Action

Our Automated Worktray Manager (AWM) product has been created to effectively manage caseloads and resource attribution and makes provision for insights to be tailored to the users’ preferences.

AWM uses an intelligent rules engine, powered by AI, that actions and escalates and de-escalates cases in line with processes. It personalises messages to tenants across a full omni-channel platform and ensures that tenants are contacted via the channel that best suits them, increasing digital engagement.

What our customers say

Without a doubt, it (Automation) has helped us build relationships and personalise the service. It gets officers away from process and enables them to spend the right time with each customer.
Sarah Aldred
First Choice Homes Oldham

The automation helps automate the cases that need a text or letter in the background, without officer intervention. This has helped the team to have over 55,000 phone calls with tenants over the last 12 months, and these (calls) have been focused on building stronger relationships with our customers.
Sarah Aldred
First Choice Homes Oldham

The Intelligent Automation reduces their caseload so they can focus their time on the more complex cases. The software helps us to reduce the number of people in debt and those with arrears – and offer help much earlier.
Lizzie Aston-Long
Sovereign

In the last financial year (ending March 2022) our target for gross arrears was 4.5%. However, we achieved 2.59% (£7.4M debt against a debit of £283M, exceeding target by £5.4M). Without RentSense and automation we would have not been able to achieve these results.”
Lizzie Aston-Long
Sovereign

When we invested it was more about increasing capacity within the team. Intelligent Automation has increased capacity and removed between 20%-30% of an officers’ caseload.
Lizzie Aston-Long
Sovereign

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