Agents spent up to 6 minutes writing inconsistent notes. Now, AI instantly summarizes 55,000 weekly calls directly into the CRM.
A UK health insurance provider managing a network of over 250 hospitals and fielding 55,000 customer calls per week across a 1,100-agent contact center.
Agents spent up to six minutes after each call manually summarizing discussions, resulting in costly inefficiencies and highly inconsistent notes....
“Every minute spent on after-call work was a minute spent not preparing for or speaking to the next member, which can cost AXA money and customer goodwill.”
Private health insurance and medical cover for individuals and business employees.
AI-powered customer engagement and workforce optimization platform.
AXA Health's Call summaries is part of this use case:
Related implementations across industries and use cases
Manual email drafts took 12 minutes. AI cut this to 1.5 minutes, freeing agents to resolve complex funding and care delays.
Reps were buried under 335k inquiries, 90% routine. AI now resolves FAQs and drafts emails, cutting response times 87.5%.
Agents juggled disconnected tools and lost hours to manual wrap-ups. Now, AI assists them in real time and automates post-call summaries.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
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Migrating thousands of legacy contracts to a core system took hours of manual effort. AI now automatically extracts critical details.
Manual review of 18,000 entries was slow and inconsistent. AI now standardizes categorization, cutting process time by 75%.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Sourcing native speakers for 14 markets was costly. Now, AI handles 40% of routine queries and translates live for a central English team.
Agents spent up to 6 minutes writing inconsistent notes. Now, AI instantly summarizes 55,000 weekly calls directly into the CRM.
A UK health insurance provider managing a network of over 250 hospitals and fielding 55,000 customer calls per week across a 1,100-agent contact center.
Agents spent up to six minutes after each call manually summarizing discussions, resulting in costly inefficiencies and highly inconsistent notes....
“Every minute spent on after-call work was a minute spent not preparing for or speaking to the next member, which can cost AXA money and customer goodwill.”
Private health insurance and medical cover for individuals and business employees.
AI-powered customer engagement and workforce optimization platform.
AXA Health's Call summaries is part of this use case:
Related implementations across industries and use cases
Manual email drafts took 12 minutes. AI cut this to 1.5 minutes, freeing agents to resolve complex funding and care delays.
Reps were buried under 335k inquiries, 90% routine. AI now resolves FAQs and drafts emails, cutting response times 87.5%.
Agents juggled disconnected tools and lost hours to manual wrap-ups. Now, AI assists them in real time and automates post-call summaries.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
Agents split focus between members and manual note-taking. Now, an AI copilot summarizes calls, letting agents give their full attention.
Migrating thousands of legacy contracts to a core system took hours of manual effort. AI now automatically extracts critical details.
Manual review of 18,000 entries was slow and inconsistent. AI now standardizes categorization, cutting process time by 75%.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Sourcing native speakers for 14 markets was costly. Now, AI handles 40% of routine queries and translates live for a central English team.