JAR Adopts Agentic AI to Support Residential Property Management Workflows
London-based block management firm JAR is adopting agentic AI from MRI Software to handle some of the routine work involved in managing residential properties.
JAR, also known as James Andrew Residential, manages more than 6,500 homes. The company plans to use MRI Agora Orchestrator alongside its existing MRI residential software, with the aim of reducing the amount of manual work involved in day-to-day processes.
Agentic AI for residential property management
The first stage of the rollout will cover three areas: accounting administration, maintenance requests, and document and data processing.
For accounting work, the technology will help with routine financial tasks and prepare communications using the information available for each case. More sensitive or complicated matters will still be dealt with by JAR’s staff.
The system will also be used to assess incoming maintenance requests and help determine the appropriate next step. For property management teams, this could reduce some of the manual handling involved in dealing with maintenance cases.
A third use involves documents and communications. Relevant information can be extracted from these materials and added to JAR’s core system. Human checks will continue to be used for important compliance documents and decisions.
MRI Software said Agora Orchestrator is designed to run defined workflows within set business rules and safeguards. Staff remain involved where a situation calls for judgement or closer attention.
JAR expects the technology to free up some of its teams’ time for work that needs direct involvement with residents and clients. The company has estimated that the selected use cases could deliver a return on investment of around 250%. This is an estimate from JAR based on its assessment of the planned uses, rather than a result already achieved.
MRI launched Agora Orchestrator in June alongside MRI Agora Intelligence, a tool that provides portfolio signals and recommended actions. JAR’s adoption adds another example of AI being introduced into everyday property management work, particularly in areas where teams deal with large volumes of routine tasks.
