Beside AI receptionist helps Matthew Fernandez capture every inquiry and reclaim hours weekly in commercial real estate
Matthew Fernandez's commercial real estate firm handled 300–500 calls per week through a largely manual, error-prone process — hand-written notes, inconsistent CRM logging in HubSpot, and no reliable fallback for missed calls — resulting in lost leads, missing context, and time wasted reconstructing conversations.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Inbound call or text arrives
A call comes in while Matthew is juggling multiple threads — clients, agents, listings, negotiations, and internal coordination.
Tools used
BesideHubSpot
Outcome
Beside changed the system from manual memory to automatic capture and searchable accountability, delivering summaries, transcripts, voice recordings, and automated text responses — resulting in fewer lost opportunities, less manual logging, faster turnaround, and hours reclaimed weekly.
What failed first
HubSpot was the existing CRM but without consistent and complete logging it often failed to reflect reality, and voicemail rarely substituted for missed calls since many callers simply don't leave one.