RentGuarantor (RGG) has provided an update on the bespoke AI infrastructure it is developing to support its long-term growth strategy. The company believes the technology will play a central role in enabling the business to scale efficiently over the coming years.
Using its AI tools, the company could illustratively increase its processing capacity to about 100,000 tenant contracts per year by 2029. This would represent a 30-fold increase on the number of tenant contracts completed via its platform in the financial year ended 31 March 2025, while also delivering significant efficiency gains.
RentGuarantor has developed AI-powered tools capable of automatically reading and analysing tenant documents. The first application is an Automated Document Reader for Universal Credit (ADR-UC). After reviewing documents, ADR-UC provides a clear explanation for the operational team to assess before making approval decisions, reducing time spent on manual checks and freeing up staff to focus on more complex cases. The company expects to commence use of ADR-UC later this year.
Furthermore, by expanding the AI tools to additional document types, the company anticipates that applications for its guarantor service could ultimately reach an ‘accept’ or ‘refer’ decision point in about one minute. This would represent a significant reduction in processing time compared with current levels.
In addition, the expected deployment of AI infrastructure across the business is intended to increase processing volumes materially without operational headcount needing to grow at the same pace. Applicants are also expected to benefit from a faster digital journey, while human oversight will remain in place with experienced staff supporting the process.
RentGuarantor’s AI strategy is led by Professor David Cliff, Non-Executive Director, who oversees Research and Innovation initiatives and is a Professor of Computer Science at the University of Bristol. He previously worked at the Massachusetts Institute of Technology’s Artificial Intelligence Laboratory and as an Industrial Researcher for Hewlett-Packard and Deutsche Bank.
RentGuarantor’s Chief Executive Officer Paul Foy said: “I am excited by the impact that we expect our bespoke AI technology to be able to deliver to RentGuarantor. We believe that our initial application in ADR-UC will ultimately significantly streamline one of the most time-intensive aspects of our operations and will act as a catalyst for further technological progress across the business. Over time, we can see bespoke AI technology applications creating meaningful value for investors by dramatically increasing our application throughput and operational capacity should the volume of applications increase substantially.
“Our broader technology strategy is focused on driving efficiency without compromising our award-winning customer service, and we are confident that our AI roadmap can help us to deliver on that ambition.”
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RentGuarantor’s AI push signals a clear intention to scale aggressively without materially increasing costs. If the company can move towards one-minute application decisions while maintaining oversight and service standards, it could create a meaningful operational advantage. However, execution will be key, particularly as volumes grow towards the illustrative 100,000-contract ambition by 2029.