How to reduce your inbound maintenance requests by 20% with Street.co.uk’s AI Maintenance tool

Estate agents and property managers often find themselves inundated with maintenance requests, many of which are non-urgent issues that could be resolved without agent involvement. By leveraging Street.co.uk's AI-powered Maintenance Tool, agents can significantly reduce the volume of inbound maintenance requests and reclaim valuable time.

Here are a few ways that Street.co.uk’s AI Maintenance tool can help you reduce inbound maintenance requests by up to 20%, and save your inbox from overload.

The challenge of maintenance requests

Maintenance requests are a core part of property management, but they can quickly become overwhelming. From blocked sinks and damp issues to appliance malfunctions, these requests can pile up and consume hours of an agent’s day, leaving less time for client-focused work. The good news is that, with AI, it’s possible to streamline this process and empower tenants to handle minor issues themselves.

Introducing Street.co.uk’s AI Maintenance tool

Street.co.uk’s AI Maintenance Tool uses Natural Language Processing (NLP) to intelligently handle inbound maintenance requests. The tool is designed to assess the nature of the request and, where appropriate, provide tenants with simple troubleshooting steps. 

By automating this initial triage, agents can focus on more urgent tasks and reduce unnecessary involvement in routine maintenance issues. But how does it work to reduce your inbound requests?

Triage non-urgent requests automatically

When a tenant submits a maintenance request via their Tenant App, AI evaluates the issue using NLP. For common, non-urgent problems (e.g. a clogged sink or minor damp issues), the AI provides tenants with DIY solutions and step-by-step instructions to resolve the issue themselves. This self-serve model can address a significant portion of maintenance requests without the need for agent intervention, while meeting growing customer preference for on-demand service.

Prioritise emergency issues

For more serious issues, like gas leaks or electrical hazards, Street AI recognises the urgency and escalates the request to the appropriate contact immediately. This ensures that genuine emergencies are addressed promptly, while less critical issues are filtered out.

Educate tenants on routine maintenance

By using the AI tool, tenants learn how to handle minor issues independently. Over time, this approach can reduce the number of similar requests, as tenants become more confident in resolving these issues themselves.

Key benefits of using Street.co.uk’s AI Maintenance tool

Significant reduction in maintenance requests

By automating responses to common maintenance issues, agents can reduce their inbound maintenance requests by up to 20%. This reduction translates to fewer calls and emails, freeing up time to focus on more complex or revenue-generating tasks.

Enhanced tenant experience

AI Maintenance’s self-serve model allows tenants to receive immediate responses to their requests. This quick, accessible solution improves tenant satisfaction, as they don’t need to wait for an agent’s response to minor issues, and gives them the 24/7, on-demand experience they’ve come to expect from other services.

Faster resolution times for critical issues

Street AI’s ability to identify and prioritise emergency requests means that agents can address critical issues faster. This proactive approach not only enhances tenant safety but also builds trust by showing that urgent matters are handled swiftly – which could mean a boost to your agency’s reputation, and more word-of-mouth referrals.

Consistent and accurate responses

Street’s AI Maintenance Tool provides consistent troubleshooting steps, ensuring that tenants receive clear, actionable instructions every time. By removing the risk of human error or varied responses, the tool means tenants always get the right information, so your landlords’ properties are never at risk, and they don’t have to fund unnecessary maintenance callouts.

Practical applications of the AI Maintenance 

Using Street.co.uk’s AI Maintenance Tool can transform the day-to-day workflow of an estate agency or property management firm. Here’s how it might look in practice:

Morning review of requests: Agents start their day by quickly reviewing maintenance requests. The AI tool has already triaged non-urgent issues and provided tenants with troubleshooting instructions. Only urgent cases remain in the queue for immediate attention.

Real-time assistance for tenants: Tenants receive instant feedback when submitting maintenance requests. Instead of waiting hours or days for a response, they are given actionable steps within moments, which they can address on their own.

Reduced follow-up communications: Because many tenants will have already resolved their issue with the AI’s guidance, there’s no need for follow-up emails or calls, allowing agents to focus their efforts on securing new business and growing their agency.

Getting the most out of AI Maintenance 

Educate your team

Make sure your property management team understands how AI Maintenance works and how it can streamline property management. This ensures everyone is comfortable with the new workflow, and knows when to intervene if necessary.

Encourage tenant adoption

When onboarding new tenants, introduce them to the AI Maintenance tool  within the Street.co.uk Tenant App and explain how it can help them troubleshoot common issues. The more tenants are aware of the tool, the more likely they are to use it effectively.

Keep human support in place for complex cases

While AI Maintenance can handle a large volume of common requests, it’s important to have human agents available for complex cases that require a personalised approach. Balancing AI with human support ensures that all tenants receive the help they need, no matter the complexity of their issue.

Save your inbox from overload with Street.co.uk’s AI Maintenance tool

Street.co.uk’s AI Maintenance tool has already proven to be a game-changer for many estate agents, helping them reduce maintenance queries by 20%, and increase operational efficiency. By automating responses for non-urgent issues and empowering tenants with a self-serve model, agents can reclaim hours in their week that would otherwise be lost to routine maintenance tasks.

To learn more about how Street.co.uk can help you reduce inbound maintenance requests and improve your customers’ experience, read our latest guide.