#Insurance

Articles tagged with #insurance

AI for Insurance Agents in 2026: Adoption Hit 64% — The Industry Data Report

In 2026, 64% of US insurance agencies use AI in at least one workflow, led by quoting (71%), lead intake (58%), claims handling (49%), and customer service (44%). Captive agents (73%) outpace independents (51%) as carrier-driven tooling closes the gap.

Best AI Tools for Insurance Agents 2026: A Ranked Comparison

A ranked comparison of the best AI tools for insurance agents in 2026 across five workflow lanes — lead intake, quoting, CRM, claims, and customer service — with Perspective AI ranked #1 for conversational lead intake and buyer qualification.

Best Insurance Chatbot Platforms in 2026: Conversational AI Beyond FAQ Bots

An insurance chatbot in 2026 is no longer a scripted FAQ widget — it is workflow-specific conversational AI. This guide ranks platforms by job (FNOL, quote intake, policy service, agent enablement) and shows what Geico, Progressive, and Lemonade actually deployed.

MetLife AI Strategy: How a 160-Year-Old Insurer is Modernizing Group Benefits with AI

MetLife's AI strategy in 2026 centers on group benefits: conversational enrollment, claims automation, and a 160-year data moat. Here's what the incumbent is shipping, where peers beat them, and what it means for life insurance AI.

AI for Insurance Agencies in 2026: From Lead Capture to Renewals

Most insurance agencies misallocate their AI budget. The leverage is at the bookends — intake (stage 1) and renewal (stage 5), not submission and bind. A 5-stage playbook.

Best AI Tools for Insurance Brokers in 2026: A Practical Roundup by Workflow

Most insurance AI was built for carriers, not brokers. A practical roundup of broker-side AI tools across 6 categories — intake, quoting, policy review, claims, AMS, CRM.

Conversational AI in Insurance: Why Deflection Is the Wrong Goal

Insurance conversational AI obsesses over deflection rates. But the real ROI comes from understanding what policyholders are telling you. A framework for shifting from deflection-first to understanding-first AI.