How we automated Apex Properties' tenant maintenance workflow, lease renewal pipeline, and portfolio reporting — reducing maintenance resolution time by 68%, lifting lease renewal rate from 81% to 96%, and eliminating the monthly reporting process entirely.
Apex Properties managed 2,400 residential units across 8 UK cities with a team of 22. Tenant maintenance requests arrived via WhatsApp with no SLA tracking. Lease renewals managed from a spreadsheet. Monthly portfolio reporting took 3 days.
We deployed five automation pipelines in 90 days. Maintenance resolution time fell 68%, lease renewal rate improved from 81% to 96% eliminating £380k in annual vacancy costs, and portfolio reporting was fully automated.
Apex had grown rapidly through acquisition — from 800 to 2,400 units in 4 years — and their operational model hadn't kept pace. Each acquisition added more units but the same manual processes. The Operations Director described it accurately: 'We're running a £38M portfolio with the systems of a 200-unit landlord.' The regulatory environment was also tightening — the Renters Reform Bill was creating new maintenance response requirements that Apex's manual system couldn't consistently meet.
Each failure was directly measurable in vacancy costs, tenant churn, regulatory risk, or management time. Together, they were preventing Apex from scaling further without proportional headcount growth.
Tenant maintenance requests arrived via WhatsApp messages to individual property managers' personal phones, emails to a shared inbox, and phone calls. No central logging, no SLA clock, no automatic contractor dispatch. Urgent issues (boiler failures, water leaks) were only escalated when a tenant escalated — sometimes days after reporting. Result: Average CSAT for maintenance: 2.8/5 · 34% of lease non-renewals cited maintenance response.
Renewal outreach depended on property managers remembering to contact tenants 60 days before lease expiry. No automated reminder, no renewal incentive sequence, no structured conversation guide. When tenants weren't contacted proactively, they assumed Apex didn't want to renew and started searching alternatives. Result: 19% vacancy rate generating £380k+ in annual vacancy and re-letting costs.
Property managers each had personal relationships with a subset of contractors. Job allocation was based on who you knew, not who was best for the work. No performance tracking, no cost benchmarking, no automatic escalation when jobs weren't completed. Duplicate call-outs for the same issue were common. Result: Maintenance cost 22% above comparable portfolio benchmarks.
Occupancy rates, maintenance SLAs, rent collection rates, arrears levels, and property valuations assembled manually from a property management system, spreadsheets, and email records. Three days of the Operations Director's time each month to produce a report that was already 30 days out of date by the time it reached the board. Result: Board making strategic decisions on month-old data.
The architecture connected Apex's property management system, WhatsApp Business, contractor database, and finance systems into a single automated operational layer.
WhatsApp Business bot receives maintenance reports, classifies urgency and type using Claude AI, routes to appropriate contractor from vetted database, sends tenant acknowledgement with expected timeline, and tracks resolution. Overdue jobs escalate automatically. SLA clock visible to operations team in real time.
90-day pre-expiry trigger starts the renewal sequence: personalised email with market context and renewal offer, 60-day follow-up with incentive (free professional clean, loyalty discount), 30-day final offer with urgency framing. Non-responders escalated to property manager with full conversation history.
Move-in welcome sequence, monthly statement delivery, rent reminder (5 days before due), arrears outreach (day 1, 3, 7 of arrears), maintenance status updates, and move-out checklist — all automated and consistent across all 2,400 units and 8 cities.
Job posted to contractor pool with specification and SLA. Acceptance triggers automatic scheduling confirmation to tenant. Completion triggers photo upload request and tenant satisfaction score. Performance data fed back into matching algorithm — top performers get priority routing.
Real-time occupancy, maintenance SLA adherence, rent collection rate, arrears heat map, and contractor performance — all live. Daily digest to operations team. Weekly executive summary generated by Claude AI with anomaly flags and recommended actions. Monthly board pack assembled automatically.
All figures extracted from Apex's property management system and maintenance logs at 90 days. Reviewed with the Operations Director and Finance Director before publication.
Maintenance request log analysis across all 8 cities. Renewal pipeline review. Contractor database mapping. Tenant communication audit. Property Vista integration scoped.
Maintenance classification taxonomy built with operations team. Contractor database structured in Airtable. WhatsApp Business API approved. Urgency routing logic defined and signed off.
WhatsApp maintenance bot live day 16. Renewal pipeline day 18. Tenant comms standardisation day 19. Contractor dispatch day 20. Portfolio dashboard day 22.
Full deployment to London portfolio (600 units). Maintenance classification accuracy 94% — taxonomy refined based on edge cases. Renewal sequence timing adjusted based on first-cohort response rates.
Rollout to all 8 cities over 3 weeks. Team training at each location. Operations Director reviews monthly dashboard. Lease renewal rate hit 96% in month 3.
45-minute strategy call. We'll audit your ops, identify your top automation wins, and give you the ROI estimate — specific to your stack.
Book Free Strategy Call View PricingThe maintenance automation alone changed our tenant relationships. Instead of WhatsApp messages disappearing into inboxes, every request is acknowledged in minutes, assigned to a contractor the same day, and tracked to completion. Our CSAT went from 2.8 to 4.6 on maintenance. That's not incremental — that's transformational.
We were losing £380k a year to avoidable vacancies because we weren't reaching tenants proactively before their leases expired. The renewal pipeline built has taken us from 81% to 96% renewal rate in 90 days. That's the single highest-ROI automation we've ever invested in.
Whether your problem is onboarding, churn, reporting, or all three — the pattern is the same. Let's audit your ops and build the roadmap.