AI Receptionist Luna helps DSM Rooter answer every call and respond faster to emergencies
Dave Diaz cannot answer calls while physically working because his hands are dirty and gloved. Missing calls loses work to competitors since service shoppers dial the next number rather than leaving a voicemail. Spam calls further drain his attention and time.
Dave attempted a RingCentral setup but abandoned it because it demanded scheduled trainings and manual onboarding that he did not have time to complete.
Beside's AI receptionist Luna answers every call live, filters spam, captures lead details via text, and delivers urgency-flagged summaries, resulting in fewer lost jobs, faster emergency response, and more time for Dave to manage the business.
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Frequently asked questions
What did this team achieve with this AI workflow?
Beside's AI receptionist Luna answers every call live, filters spam, captures lead details via text, and delivers urgency-flagged summaries, resulting in fewer lost jobs, faster emergency response, and more time for D…
What tools did this team use?
Beside, Luna.
What results were reported?
Callback response time: within the hour or less; Emergency callback time: call back in minutes; Lost job rate: Fewer losses; Operator stress and mental load: lower stress (source-reported, not independently verified).
What failed first in this deployment?
Dave attempted a RingCentral setup but abandoned it because it demanded scheduled trainings and manual onboarding that he did not have time to complete.
How is this call center ai AI workflow structured?
Inbound call arrives → Luna greets and collects basics → Spam calls absorbed → Instant text reply and capture → Urgency-flagged summary delivered → Dave reviews and calls back.