Aspire General Insurance scales voice automation to 53% and handles 37,000+ monthly calls with boost.ai
Rapid post-pandemic growth caused a surge in call volume at Aspire's contact center, creating rising wait times. A standard touchtone IVR lacked the sophistication to handle complex queries, and human agents were bogged down by repetitive questions such as payment statuses and policy lookups.
Aspire's legacy live chat vendor went out of business, forcing a platform change. Their existing touchtone IVR could not handle complex queries or scale with growing call demand.
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Aspire's Voice AI Agent automated over 37,000 interactions per month, achieving a 53% automation rate for Spanish-language conversations and 43% for English, effectively doubling contact center capacity without adding headcount.
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What did this team achieve with this AI workflow?
Aspire's Voice AI Agent automated over 37,000 interactions per month, achieving a 53% automation rate for Spanish-language conversations and 43% for English, effectively doubling contact center capacity without adding…
What tools did this team use?
boost.ai, Voice AI Agent.
What results were reported?
Spanish-language automation rate: 53%; English-language automation rate: 43%; English automation rate YTD: 45%; Monthly automated interactions: 37,000+ (source-reported, not independently verified).
What failed first in this deployment?
Aspire's legacy live chat vendor went out of business, forcing a platform change.
How is this customer support AI workflow structured?
Customer calls contact center → Voice AI processes query with trained intents → Real-time policy and payment data lookup → Automated resolution of routine inquiries → Escalation to live agent for complex cases.
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