Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.
An insurance brokerage with $1.9 billion in quarterly revenue, which spent over a decade standardizing its data and platforms to prepare for large-scale AI deployment.
Manual, repetitive workflows across underwriting, policy review, and billing created operational bottlenecks that limited throughput and slowed...
“We don’t view AI as a teammate replacement tool.”
Insurance brokerage and risk management services provider.
Brown & Brown's Insurance workflow automation is part of this use case:
Related implementations across industries and use cases
Adjusters spent up to two hours manually reviewing hundreds of claims notes. Now, secure AI summarizes complex case files in minutes.
Fragmented systems buried adjusters in routine admin. Now, a 24/7 AI captures data and routes cases, freeing humans for complex claims.
Forty entities duplicated work, stalling claims for days. A global AI engine standardized workflows, cutting settlement time to one day.
Manual data entry bottlenecked operations. Now, custom agents extract incoming contract details and route them for human verification.
Fiber pricing took weeks to calculate. Staff now generate quotes in seconds and use GenAI to mine 40,000 contracts for revenue.
Agents spent up to 6 minutes writing inconsistent notes. Now, AI instantly summarizes 55,000 weekly calls directly into the CRM.
Manual review of 18,000 entries was slow and inconsistent. AI now standardizes categorization, cutting process time by 75%.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Reviewing handwritten, unstructured documents took handlers up to an hour per claim. Now, AI extracts and validates data automatically.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.
An insurance brokerage with $1.9 billion in quarterly revenue, which spent over a decade standardizing its data and platforms to prepare for large-scale AI deployment.
Manual, repetitive workflows across underwriting, policy review, and billing created operational bottlenecks that limited throughput and slowed...
“We don’t view AI as a teammate replacement tool.”
Insurance brokerage and risk management services provider.
Brown & Brown's Insurance workflow automation is part of this use case:
Related implementations across industries and use cases
Adjusters spent up to two hours manually reviewing hundreds of claims notes. Now, secure AI summarizes complex case files in minutes.
Fragmented systems buried adjusters in routine admin. Now, a 24/7 AI captures data and routes cases, freeing humans for complex claims.
Forty entities duplicated work, stalling claims for days. A global AI engine standardized workflows, cutting settlement time to one day.
Manual data entry bottlenecked operations. Now, custom agents extract incoming contract details and route them for human verification.
Fiber pricing took weeks to calculate. Staff now generate quotes in seconds and use GenAI to mine 40,000 contracts for revenue.
Agents spent up to 6 minutes writing inconsistent notes. Now, AI instantly summarizes 55,000 weekly calls directly into the CRM.
Manual review of 18,000 entries was slow and inconsistent. AI now standardizes categorization, cutting process time by 75%.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Reviewing handwritten, unstructured documents took handlers up to an hour per claim. Now, AI extracts and validates data automatically.