Help me Fix: The Smart Repairs Solution for Social Housing

Transforming Repairs & Maintenance with AI & Video Triage

Managing repairs in social housing can be complex; high demand, budget constraints, and the need for fast resolutions can overwhelm maintenance teams. Help me Fix revolutionises repairs management by using AI diagnostics, real-time video triage, and a remote engineer network to reduce response times, lower costs, and improve resident satisfaction.

Designed for housing associations, local authorities, and registered providers, the system ensures that repairs are triaged efficiently; only sending contractors when absolutely necessary. The result: faster issue resolution, lower costs, and better resident experiences.

How It Works: A Three-Step Approach for Smarter Repairs

1. AI Diagnostics – Immediate, Accurate Support

   Help me Fix employs Aidenn, an AI-powered repairs assistant, to provide instant analyses of common household faults. Whether it is boiler pressure drops, heating resets, or tripped electrics, Aidenn quickly recognises likely causes.

   • Instant fault identification
   • Photo analysis for diagnosing problems
   • Helpful videos and easy-to-follow guides
   • Escalation to live support if needed

   By filtering simpler issues, staff can focus on more urgent tasks and cut back on routine call-outs.

2. Video Triage – Expert Guidance Without the Wait

   When an issue needs further help, residents or on-site staff can speak directly with a remote engineer through one-click video calls. The engineer offers guidance and verifies the level of severity.

   • Live video calls; no downloads or logins needed
   • On-screen annotations for clarity
   • Real-time AI-based translations
   • The ability to share photos or files immediately

   This approach reduces unnecessary van trips and ensures engineers only head out for tasks genuinely requiring on-site attention.

3. Automated Workflows – Smarter Repair Management

   Once the issue is confirmed, a job report is automatically generated, ensuring that repairs are properly prioritised. If an on-site contractor is needed, that visit is well-prepared—leading to more first-time fixes.

   • PDF reports with structured data and images
   • Automated dispatch only when required
   • Seamless integration with housing management systems

Why Social Housing Providers Love Help me Fix

Reduce Costs & Improve Efficiency

• 30% reduction in repairs spend by avoiding unneeded site visits
• Up to 85% of emergencies downgraded following triage
• Fewer contractor trips, translating to savings on labour and fuel

Improve Resident Satisfaction & Engagement

• 4.6/5 average satisfaction rating among residents
• Immediate access to repairs support helps reduce stress
• Faster response times mean issues get solved before they escalate

Reduce Carbon Footprint & Promote Sustainability

• 40% fewer van trips mean lower emissions
• Digital-first repairs encourage more sustainable property maintenance
• Meeting net-zero targets cost-effectively

The Help me Fix Ecosystem – Built for Social Housing

Aidenn – AI Repairs Assistant

Aidenn, the AI-driven tool from Help me Fix, offers first-line support that keeps trivial issues from tying up staff resources. By identifying potential resolutions quickly, it reduces time wasted on site visits for minor fixes.

• Instant troubleshooting for common household faults
• Photo-based analysis and guided self-service
• Access to step-by-step videos and instructions
• Escalates to video triage if a deeper intervention is necessary

Remote Engineer Video Triage – Expert Support Anytime

If AI support is not enough, residents and on-site teams can connect with a vetted engineer over live video to resolve complex problems.

• Smart trade routing ensures the correct engineer answers
• In-call annotations, real-time translations, and a comprehensive reporting tool
• Reduces emergency call-outs by quickly clarifying the true severity of reported problems

Contact Hub – The Housing Team’s Command Centre

For housing associations, local authorities, and maintenance teams, Contact Hub centralises property management, reporting, and automated workflows:

• Manage properties, repairs, and residents in one place
• Instantly generate links for remote engineer calls
• Detailed analytics to track repair patterns
• API integration with existing housing management software

“This service should be used across social housing; it saves time, money, and improves efficiency for both providers and tenants.”

Real-World Impact: Social Housing Case Studies

1. Moat Housing & Morgan Sindall

• 85% of reported issues were solved or correctly identified remotely
• 166kg of carbon saved over a short period
• Over £8,795 saved, with an annual projection of £380,000
• Over 85% of emergency calls reclassified after triage

2. Plus Dane Housing & Disruptive Innovators Network (DINLab)

• 73% of maintenance queries triaged remotely
• 30% of heating problems permanently fixed through video triage
• £7,300 saved, forecasting £760,475 in yearly savings
• Dramatic drop in emergency dispatch requests

3. K&T Heating (Tier 1 Contractor)

• 28% of issues solved without an on-site visit
• 59% of cases avoided repeated call-outs, saving £4,425
• 88% of emergencies were successfully de-escalated
• 47.2kg of carbon saved by reducing van trips

Why Housing Associations Are Switching to Help me Fix

• Lower unnecessary contractor visits for cost savings
• Higher first-time fix rates, improving resolution times
• Boosted resident satisfaction and quick response
• Reduced environmental impact from fewer van journeys
• Compliance-ready workflows capture detailed job reports, supporting regulatory adherence

Embedding Data Points, Tables, and Timelines

To illustrate how AI and remote triage cut costs, providers can chart or map repair times and carbon savings:

Enrichment with Infographics and Graphs

Housing associations often track repair statuses using bar charts or infographics. Here is a suggested approach:

• A timeline showing how remote triage eliminates 1–2 days of waiting for an initial assessment.
• A bar chart comparing carbon savings from fewer repeated site visits.

SEO & Readability

Key phrases, like “smart repairs in social housing,” “AI-driven maintenance,” and “video triage solutions,” should be integrated naturally. Bullet points, headings, and short paragraphs keep the content friendly for both search engines and users. By referencing official sources, such as the Department for Levelling Up, Housing and Communities or the Chartered Institute of Housing, readers see the trustworthy foundation behind these ideas.

Key Takeaways

• AI diagnostics empower residents to fix minor issues themselves, lowering call volumes. • Remote engineer triage cuts out guesswork, reducing mislabelled emergencies. • Automated workflows ensure only essential site visits and produce thorough PDF reports. • Reduced carbon footprints align with net-zero obligations, pleasing local authorities. • Happier tenants thanks to swifter responses, fewer missed appointments, and minimal disruptions.

Conclusion

As social housing providers seek cost reductions, improved carbon performance, and robust repairs services, technologies like AI triage and remote video calls have become game-changers. With real-world case studies showing major cost savings and tenant satisfaction boosts, it is no wonder that associations, councils, and operators are choosing Help me Fix. By embracing immediate fault recognition, live video triage, and automated job prioritisation, the sector moves closer to a future of streamlined, sustainable, and customer-focused housing management.