Opinion News from Digital Insurance

When AI is simply layered on top of policy-centric platforms, batch-based processes, and siloed data models, it inherits their limitations.

Insurers learned that 2025 was about regaining balance and 2026 will be about redefining value for customers with better data, tools and insights.

AI is reshaping how claims are handled, how repairs are performed, and how teams deliver faster and more connected experiences across the auto claims ecosystem.

Insurance companies need more reliable, bottom-up data and more strategic technology partnerships.

AI holds enormous potential for small businesses, providing tools that can empower them to do more with less.

Emerging AI capabilities give agencies a clearer, more dynamic view of their entire book of business including underwriting, renewal and service workflows

Tracking fraud, waste and abuse in healthcare is a challenge, but AI is helping insurers identify it sooner.

The insurance industry must discard outdated models and embrace new skillsets to survive.

AI is transforming underwriting and helping to automate different aspects while improving the customer and agent experience.

The most impactful data today is clean, structured, operational data collected across the entire policy lifecycle.

AI impersonation fraud and attempts involving deepfakes have surged by more than 2100% over the last three years.

Used correctly, AI can help insurers move faster, identify risk more accurately, and reduce costs without replacing human expertise.

A vertical-specific AI can digitize the contextual judgment of retiring experts, helping staff to access "word-of-mouth" wisdom instantly in the correct context.

AI will move from the margins and into the fabric of insurance, redefining how carriers do business and streamlining operations for efficiency while optimizing the customer experience.

Changing communication methods like the use of emojis present a growing compliance risk in regulated industries where interactions are subject to scrutiny.

AI agents can reason through complex questions, understand intent, communicate naturally, and handle tasks that used to require a person on the other end of a call.

In most agencies, 80% of revenue is generated by only 20% of their accounts, meaning that 80% of an agency's customer base is responsible for only 20% of its revenue.

Insurers can transform AI spending into intelligent capacity investment through several practical steps and strategies.

Enterprises are adopting agentic AI that plans and executes on its own while compounding errors, accountability gaps and cyber risk. Clear safeguards and auditability are critical.

As fraudulent claims evolve, so do the defenses against them. Here are four common fraud claims and how to combat them.