Explainable AI in Underwriting: Why Black-Box Models Won’t Survive Regulatory Scrutiny

by Arunava Acharjee | May 13, 2026 | AI & Automation

Explainable AI in Underwriting: Why Black-Box Models Won’t Survive Regulatory Scrutiny By Arunava Acharjee  |  AI & Automation  There is a saying that has emerged from AI practitioners working with insurance regulators: ‘AI that can’t be...

Why ‘Lots of Pilots, Limited Production’ Is the AI Problem Killing Underwriting ROI

by Arunava Acharjee | May 7, 2026 | Underwriting

Why ‘Lots of Pilots, Limited Production’ Is the AI Problem Killing Underwriting ROI By Arunava Acharjee |  Underwriting  |  Reading time: 4 mins A recent industry report on AI adoption in insurance landed on a sentence that should be pinned to the wall of...

Why PEOs Are the Most Underserved Segment in Group Health Automation

by Arunava Acharjee | May 4, 2026 | PEOs

Why PEOs Are the Most Underserved Segment in Group Health Automation By Arunava Acharjee |  PEOs The group health insurance technology market has spent the last decade building better tools for carriers, MGUs, and TPAs. Underwriting automation, claims management,...

The $25,000 Member Problem: How GLP-1 Coverage Is Reshaping Specific Deductible Calculations

by Arunava Acharjee | Apr 27, 2026 | Underwriting

The $25,000 Member Problem: How GLP-1 Coverage Is Reshaping Specific Deductible Calculations By Arunava Acharjee |  Underwriting  |  Reading time: 4 mins Specific deductibles exist to protect self-funded employers from catastrophic individual claims. The actuarial...

GLP-1 Drugs and Stop-Loss Pricing: What Every Underwriter Needs to Know in 2026

by Arunava Acharjee | Apr 22, 2026 | Underwriting

GLP-1 Drugs and Stop-Loss Pricing: What Every Underwriter Needs to Know in 2026 By Arunava Acharjee |  Underwriting  |  Reading time: 4 mins Twelve percent of Americans have now used a GLP-1 drug for weight loss. In 2024, that number was closer to five percent. The...