Shrinking workforce, data scattered across on-prem systems. Now an agentic co-worker handles policy and claims work, freeing reps for customers.
One of Japan's major life insurance providers, operating in one of the most labor-intensive industries with all business applications built and hosted on-premises.
Japan's shrinking working-age population meant fewer people available to handle the growing volume of contracts, claims, and customer support that...
“Before Salesforce, all system environments were in-house and all business applications were developed internally. Essentially, it was an on-premises environment. That made it difficult to adapt quickly when business needs changed. Adding to this, our data was scattered across multiple environments, which slowed decision-making and made system development increasingly expensive.”
Supplemental health and life insurance provider for the Japanese market.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
Aflac Japan's Policy and claims support is part of this use case:
Related implementations across industries and use cases
30 minutes per letter, 1,000+ sent per rep each year. AI now drafts and transcribes; no message reaches a customer without a human review.
Manual review of 18,000 entries was slow and inconsistent. AI now standardizes categorization, cutting process time by 75%.
Agents dug through a vast catalog for answers. Now, AI preps calls and surfaces instant insights for 300 remote employees.
Agents dug through a vast catalog for answers. Now, AI preps calls and surfaces instant insights for 300 remote employees.
Reps put customers on hold to search 100GB of manuals and fragmented records. Arthur surfaces the right answer mid-call — no hold.
Underwriters searched hundreds of pages of criteria; HR fielded policy questions employees could self-serve. Agents now handle both.
Phone scheduling took 3 days per candidate. An SMS agent now handles it end-to-end in 37 minutes, 24/7.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Shrinking workforce, data scattered across on-prem systems. Now an agentic co-worker handles policy and claims work, freeing reps for customers.
One of Japan's major life insurance providers, operating in one of the most labor-intensive industries with all business applications built and hosted on-premises.
Japan's shrinking working-age population meant fewer people available to handle the growing volume of contracts, claims, and customer support that...
“Before Salesforce, all system environments were in-house and all business applications were developed internally. Essentially, it was an on-premises environment. That made it difficult to adapt quickly when business needs changed. Adding to this, our data was scattered across multiple environments, which slowed decision-making and made system development increasingly expensive.”
Supplemental health and life insurance provider for the Japanese market.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
Aflac Japan's Policy and claims support is part of this use case:
Related implementations across industries and use cases
30 minutes per letter, 1,000+ sent per rep each year. AI now drafts and transcribes; no message reaches a customer without a human review.
Manual review of 18,000 entries was slow and inconsistent. AI now standardizes categorization, cutting process time by 75%.
Agents dug through a vast catalog for answers. Now, AI preps calls and surfaces instant insights for 300 remote employees.
Agents dug through a vast catalog for answers. Now, AI preps calls and surfaces instant insights for 300 remote employees.
Reps put customers on hold to search 100GB of manuals and fragmented records. Arthur surfaces the right answer mid-call — no hold.
Underwriters searched hundreds of pages of criteria; HR fielded policy questions employees could self-serve. Agents now handle both.
Phone scheduling took 3 days per candidate. An SMS agent now handles it end-to-end in 37 minutes, 24/7.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.