Agents dug through 100+ data sources while clients waited. GenAI now scans policy docs instantly, cutting hold times by 19%.
The largest mutual life insurance company in the United States manages $1.2 trillion in active insurance policies across a legacy ecosystem of over 100 data sources.
An aging on-premises Hadoop system created data silos across divisions, preventing consistent customer experiences. Service representatives struggled...
“Our clients, agents, and advisors expect seamless experiences, and we know that the foundation for those experiences is technology, data, and AI.”
Mutual life insurance, investment, and retirement services provider.
Cloud computing platform and on-demand infrastructure services.
New York Life's Customer service support is part of this use case:
Related implementations across industries and use cases
Agents juggled disconnected tools and lost hours to manual wrap-ups. Now, AI assists them in real time and automates post-call summaries.
Six apps per query, 40 seconds per switch. A unified AI interface now surfaces subscriber context instantly—agents ask less, resolve faster.
Legacy systems choked on 1,000-page medical files. AI now converts handwritten notes and 1970s scans into structured data.
Six apps per query, 40 seconds per switch. A unified AI interface now surfaces subscriber context instantly—agents ask less, resolve faster.
Every home-finance question meant a manual search through knowledge bases. AI handles it now—NBC retired the dedicated support line.
Phone scheduling took 3 days per candidate. An SMS agent now handles it end-to-end in 37 minutes, 24/7.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.
One customer, multiple policies, 60+ systems—consistency was out of reach. AI now keeps context intact across voice, WhatsApp, and chat.
Agents juggling fragmented systems and memory for life-safety calls. One platform + AI copilot cut onboarding from 6 weeks to 2.
Agents dug through 100+ data sources while clients waited. GenAI now scans policy docs instantly, cutting hold times by 19%.
The largest mutual life insurance company in the United States manages $1.2 trillion in active insurance policies across a legacy ecosystem of over 100 data sources.
An aging on-premises Hadoop system created data silos across divisions, preventing consistent customer experiences. Service representatives struggled...
“Our clients, agents, and advisors expect seamless experiences, and we know that the foundation for those experiences is technology, data, and AI.”
Mutual life insurance, investment, and retirement services provider.
Cloud computing platform and on-demand infrastructure services.
New York Life's Customer service support is part of this use case:
Related implementations across industries and use cases
Agents juggled disconnected tools and lost hours to manual wrap-ups. Now, AI assists them in real time and automates post-call summaries.
Six apps per query, 40 seconds per switch. A unified AI interface now surfaces subscriber context instantly—agents ask less, resolve faster.
Legacy systems choked on 1,000-page medical files. AI now converts handwritten notes and 1970s scans into structured data.
Six apps per query, 40 seconds per switch. A unified AI interface now surfaces subscriber context instantly—agents ask less, resolve faster.
Every home-finance question meant a manual search through knowledge bases. AI handles it now—NBC retired the dedicated support line.
Phone scheduling took 3 days per candidate. An SMS agent now handles it end-to-end in 37 minutes, 24/7.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.
One customer, multiple policies, 60+ systems—consistency was out of reach. AI now keeps context intact across voice, WhatsApp, and chat.
Agents juggling fragmented systems and memory for life-safety calls. One platform + AI copilot cut onboarding from 6 weeks to 2.