call_center_ai · finance · workflow
MyPlanAdvocate makes Medicare enrollment twice as efficient with ElevenLabs Agents
During the seven-week Medicare Annual Enrollment Period, MyPlanAdvocate received thousands of inbound calls per day. Human-led pre-qualification created three systemic problems: capacity risk from hiring temporary staff, incentive-driven bias routing ineligible callers to licensed agents, and licensed-agent burnout from time spent on non-starters.
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 received
MyPlanAdvocate receives thousands of inbound calls per day during the Annual Enrollment Period.
Tools used
ElevenLabs Agents
Outcome
The ElevenLabs AI voice agent handled approximately 210,000 inbound calls per month during AEP, and calls reaching licensed agents after AI pre-qualification converted at 2× the historical baseline, materially increasing revenue per licensed representative.
Results
Time saved~210,000
Volume2×
Cost replacedmaterially increasing revenue per licensed representative
Grounding & classification
Source type: vendor customer story
25 fields verified against source quotes.
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