AudibelUnited States · Hearing care clinicsAudibel reduced caller abandonment from 46% to 2% with conversational voice AI.
Audibel added a voice assistant across a national hearing care network to collect basic details, identify intent, route calls with context and filter spam.
Voice AI success storyAudibelCaller abandonment moved from 46% to 2%What Audibel needed to change.
A national clinic network was receiving enough demand for callers to face long waits, abandon calls or reach a team without the context needed to help quickly. Spam traffic added more pressure to the same telephone operation.
How Audibel put conversational AI into the customer journey.
Audibel added a voice assistant across a national hearing care network to collect basic details, identify intent, route calls with context and filter spam.
The assistant supports the human care team by handling repetitive call opening and routing work while preserving a warm handoff when a person is needed.
The human team kept the work that required judgement.
Hearing care professionals continued the conversations that required empathy, clinical understanding or a person. The voice Agent prepared those handoffs with the caller's reason for contact already understood.
Caller abandonment moved from 46% to 2%.
PolyAI reports an 87% reduction in wait time, caller abandonment moving from 46% to 2%, an 88% reduction in spam calls and a 2% increase in appointment volume.
What another service business can learn from Audibel.
Intent capture and accurate routing can be commercially important even before an Agent completes a booking. A shorter wait and a prepared handoff protect both the caller experience and the capacity of the care team.
This example shows how voice AI and conversational AI can support a real customer journey. Every business should still establish its own baseline, operating boundaries and commercial case before implementation.