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.
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.
Agents manually scanned dense docs while clients waited. Now, AI retrieves answers instantly, handling peaks without extra staff.
Complex queries forced agents to transfer 27% of calls. AI now surfaces policy details instantly, cutting handovers to just 3%.
Agents manually scanned dense docs while clients waited. Now, AI retrieves answers instantly, handling peaks without extra staff.
Complex queries forced agents to transfer 27% of calls. AI now surfaces policy details instantly, cutting handovers to just 3%.
Agents juggled disconnected tools and lost hours to manual wrap-ups. Now, AI assists them in real time and automates post-call summaries.
Manual email drafts took 12 minutes. AI cut this to 1.5 minutes, freeing agents to resolve complex funding and care delays.
Inboxes overflowed with tracking and sizing queries. An AI now locates orders and asks player height to size gloves instantly.
Specs scattered in PDFs meant fixes took weeks. Now, autonomous agents access unified data to resolve over 25% of cases instantly.
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.
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.
Agents manually scanned dense docs while clients waited. Now, AI retrieves answers instantly, handling peaks without extra staff.
Complex queries forced agents to transfer 27% of calls. AI now surfaces policy details instantly, cutting handovers to just 3%.
Agents manually scanned dense docs while clients waited. Now, AI retrieves answers instantly, handling peaks without extra staff.
Complex queries forced agents to transfer 27% of calls. AI now surfaces policy details instantly, cutting handovers to just 3%.
Agents juggled disconnected tools and lost hours to manual wrap-ups. Now, AI assists them in real time and automates post-call summaries.
Manual email drafts took 12 minutes. AI cut this to 1.5 minutes, freeing agents to resolve complex funding and care delays.
Inboxes overflowed with tracking and sizing queries. An AI now locates orders and asks player height to size gloves instantly.
Specs scattered in PDFs meant fixes took weeks. Now, autonomous agents access unified data to resolve over 25% of cases instantly.