Recognizing Emerging Risks 2025 confirmed what many suspected—volatility in P&C is no longer cyclical; it’s structural. Secondary perils continued causing losses, litigation costs remained high, and experienced claims talent kept shrinking. Even with 10–25% rate increases in

As the year closes, it’s clear we’re not just turning a calendar page — we’re crossing a threshold. AI in the P&C insurance industry is moving from experimentation to expectation. From isolated pilots to embedded intelligence. From reactive workflows to foresight. At

Reserve surprises don’t start at quarter-end. They start weeks—or months—earlier inside individual claims. Each quarter, insurers recalibrate reserves—strengthening them as losses emerge or releasing them when claims resolve below expectations. It’s routine. But it directly

Insurance doesn’t change all at once. It shifts quietly—then the GAP shows up. That’s where we are now. AI isn’t a future experiment anymore. It’s an operational advantage. Carriers embedding AI into claims, underwriting, and risk are moving faster, seeing signals earlier,

What if the real risk in a claims file isn’t the accident - but what’s hidden between the lines? Consider a familiar scenario. A commercial delivery van lightly rear-ends a parked car. Minor bumper damage. Mild shoulder soreness. No passengers. No police transport. On paper,

In insurance, every claim tells a story — of people, moments, and the unexpected turns that shape our lives. During this season, we’re reminded that trust, empathy, and clarity matter more than ever. At https://t.co/mBe97Hc8Bx we’re proud to support the professionals who bring

In P&C claims, we talk a lot about cycle time, leakage, and accuracy — but the real differentiator today is how quickly we can turn unstructured data into actionable decisions. Every claim file tells a story: adjuster notes, medical records, repair estimates, photos, invoices,

Sometimes the simplest solutions prevent the most expensive outcomes. Once a claim is underway, exposures don’t stay static. They evolve—often quickly. And missing even one early signal can escalate cost, severity, and cycle time. That’s where Charlee helps adjusters stay

In a volatile insurance market, predictability equals power. With weather losses topping $200B annually, premiums up 44% in six years, and coverage shrinking across regions, insurers need more than workflows — they need foresight. That’s where https://t.co/mBe97HcGr5 transforms

It’s Monday morning. An adjuster opens their queue — 200 new claims waiting. Some simple, some complex. They’re switching between various legacy systems and its processes, scanning notes, cross-checking reports, trying to spot patterns before they develop into problems.

If policyholders can trust AI, insurers should too. Insurify’s latest AI Insurance Report shows that 86% of Americans trust AI to help them save on car insurance. Six out of seven drivers are already using AI tools to compare quotes, explain coverage, and customize policies —

Why do two seemingly similar claims settle for vastly different amounts—and what’s missing? Often, the answer lies in the unseen variables. No two claims follow the same path. Each reflects a distinct mix of facts, timelines, behaviors, and decisions. Traditional workflows try

Trust is essential in insurance. It balances timing, transparency, and empathy. When that balance is lost, a claim turns into a conflict. GL Restaurant Case + Empathy Emphasis Trust is essential in insurance. It hinges on timing, transparency, and empathy — and when any part of

AI in Insurance Isn’t Just a Tool — It’s an Ecosystem. For AI to truly succeed in insurance, it can’t operate in isolation. It’s not just for carriers or TPAs — it’s an ecosystem that involves adjusters, underwriters, actuaries, product teams, legal teams, brokers, and

Insurers already have their most potent competitive edge — their own data. Inside decades of claims are the patterns of liability risks, injury severity, and damage progression that define real-world risk. At https://t.co/mBe97Hc8Bx, we’re turning claims data into risk signals

From Rules to Relationships: How Charlee’s Patented Claims Graph RAG Model Redefines Insurance Intelligence For decades, insurers have relied on rigid, rule-based workflows designed to manage predictable risks. Those systems worked when claims were structured, data was limited,

This Thanksgiving, we’re grateful for the people behind every claim, every insight, and every innovation. At https://t.co/mBe97Hc8Bx we believe technology should serve something bigger — helping carriers, adjusters, and policyholders find clarity, fairness, and trust when it

We’re witnessing a pivotal shift in P&C — where AI, NLP, and video recognition are no longer experiments, but vital infrastructure. Claims today don’t just require automation — they need understanding. The ability to read, see, and interpret context in real time — from camera

A key promise of AI in insurance is faster, scalable, and deeper insights — but that promise has a catch: AI can also strengthen biases already present in historical data. At https://t.co/mBe97Hc8Bx, we understand that claims decisions have both human and financial effects. An

When a claim remains open for 60–90 days without attorney involvement, it’s more than just another number in the system — it’s a warning. A crucial one. According to NAIC and McKinsey studies, attorney representation raises claim costs by 3–5 times and lengthens cycle times by