A Dublin property management firm was losing enquiries at lunch, after hours and over the weekend — and fumbling the complex calls that did get through. MCEL built a voice workflow around exactly when and why calls were being lost.
of previously missed calls now captured at lunch, after-hours and weekends
dedicated receptionists on staff
from review to live system
The firm manages a mixed portfolio of residential and commercial property across Dublin. With four staff covering everything from viewings and tenancy queries to maintenance coordination, nobody had a dedicated phone role. Calls were answered when someone was free — which wasn't always.
Two patterns had become a persistent drain. The lunch window between 12:30 and 2pm saw consistently high call volume precisely when the office was closed or down to one distracted person. And calls after 5:30pm or on Friday afternoons went entirely unanswered, with no voicemail check until Monday.
There was a subtler issue too. When staff did answer, some callers — a prospective landlord asking about management fees, a tenant raising a dispute, a solicitor enquiring about a lease — came with questions that needed careful, accurate answers. Staff stumbled, gave inconsistent information, or transferred the call to someone already busy, and the caller often hung up.
The firm's phone problem had two distinct layers, and both had to be solved for the system to genuinely improve operations.
Call volume spiked between 12:30 and 1:45pm as callers rang during their own breaks; almost all went unanswered or to unchecked voicemail.
Prospective tenants and landlords researched and called outside office hours, found no response path, and reached a competitor before Monday.
Fee structures, dispute processes, lease terms and maintenance liability caught staff off-guard, producing inconsistent or inaccurate answers.
Escalations were fumbled in real time or bounced to a callback that rarely satisfied anyone.
Name, number, property interest and urgency were captured only when whoever answered had a pen and a spare moment.
Viewing availability, rental prices and how to report maintenance repeated constantly, consuming staff time on conversations that didn't need a human.
MCEL started with the specific gaps, not a generic template. The system was configured to cover the exact windows where coverage failed, handle the routine questions staff were wasting time on, and — critically — route the calls that genuinely needed a human to the right person with context already captured.
The AI answers every call at any time; during lunch it acknowledges reduced capacity, captures details and offers to connect urgent calls to a mobile. Outside hours, callers get a clear professional path, not a dead ring.
Rental availability, listings, viewing requests, maintenance reporting and general fee information are scripted into the workflow and handled end-to-end without involving staff.
When a caller's question touches a sensitive area — disputes, legal questions, contract terms, fee negotiations, complaints — the system recognises the trigger and transfers the call with a brief handoff note, or escalates a high-priority callback if no one is free.
Every conversation, resolved or escalated, generates a structured record — name, number, enquiry type, property of interest, urgency and details — delivered by email and synced to the team's shared inbox within seconds.
Mapped call volume by time window and identified the exact lunch, evening and weekend gaps.
Built time-aware routing, FAQ handling and escalation logic around sensitive call topics.
Configured the voice platform, wired notifications and stress-tested the rerouting flow.
Went live in under ten days, tuning flows on real caller behaviour in the first two months.
The lunch hour used to be a black hole for enquiries. Now the AI covers it entirely, and anything that needs one of us gets passed over with the caller's details already captured. We've stopped losing leads we didn't even know we were losing.
— Operations Director, Dublin Property Management FirmThe biggest improvement was coverage during the lunch window and after 5:30pm — the two gaps that had accounted for most missed calls. Staff's first task each morning shifted from clearing a voicemail backlog to reviewing a clean, structured list of enquiries ready to act on.
of previously missed calls now captured at lunch and after-hours
of escalated calls received a structured callback record — none dropped
reduction in staff time spent on repetitive FAQ calls each week
weekend backlog eliminated — calls arrive as structured records, not missed voicemails
dedicated receptionists added to the team
from first review to a fully live system
Before & After
Before
After
STATUSMostly unanswered; distracted pick-ups, no notes
AI answers all calls, captures details, offers urgent transfer
RESOLVEDRing-out or voicemail, checked Monday at earliest
Full coverage; structured records delivered in real time
RESOLVEDInconsistent staff answers; callers hung up
AI routes to the right person with context; priority callback if unavailable
RESOLVEDStaff answered the same things all day
Handled end-to-end by the AI; no staff involvement
RESOLVEDDepended on who answered and how busy
Structured record generated for every call
RESOLVED6–12 unreviewed voicemails before the day could start
Organised, actionable records — no audio to replay
IMPROVEDMCEL doesn't build proprietary voice AI. We select, configure and integrate the best-available voice platforms, calibrated to the specific call flows, escalation rules and operational requirements of each business — so the system feels purpose-built without the cost of custom development.
For firms that handle regular inbound calls — property management, legal services, consultancies, clinics, agencies — the pattern is usually the same: a coverage gap at predictable times, a handful of questions that don't need a human, and a small number of calls that really do. This system was designed to handle all three cleanly.
The firm didn't just capture more calls; it removed a daily source of stress, gave prospects a professional experience at every hour, and freed a small team to focus on the work only they can do.
This firm runs MCEL’s AI Receptionist. Here is the system itself, and a demo you can try.
We review how calls move through your business, identify where enquiries are missed or delayed, and show you how a structured AI workflow could improve coverage and response times.
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