Insure Think

The combination of an AI tool with a human makes it easier to obtain accurate quotes, identify coverage gaps and share documentation between parties.

The focus is on surviving such an attack, with resilient systems and processes that ensure business continuity against all odds.

Can an insurer explain its decisions and demonstrate that AI is being used fairly and responsibly?

The next generation of pricing will harness AI, behavioral analytics and real-time data streams.

Audit your KPIs, align around outcomes and measure incrementality across the conversion stages.

By reducing data sprawl, improving governance, and preparing for forensic investigations in advance, organizations can strengthen their security posture and ensure they are ready to meet the demands of insurers when it matters most.

Tech gives insurers a chance to price risks more accurately, make buying insurance faster and create new products and services.

In a softening market, insurers that succeed with AI will not be those who deploy it fastest, but those who pair innovation with governance, accuracy and accountability.

Legacy platforms are recognized as a growing operational and regulatory exposure, yet any attempt to modernize them is perceived as introducing even greater risk

Reputation events are currently managed reactively by communications teams reporting using tools built for brand storytelling.

The insurance industry doesn't have an AI adoption problem—it has a structural design problem.

Automation will change underwriting, but judgment, context, and accountability still belong to people.

Bridging the gap between knowledge and core systems is the key to an improved user experience.

It is not just about modernizing systems, but about standardizing how transactions are processed and how data is exchanged across the ecosystem.

Carriers gain ground when treating personalization as a structural shift instead of a simple feature enhancement.

The goal is to improve risk management and expand access to more customers in markets that better data now makes possible.

As insurers modernize their products and operations, delivery capability is becoming a key differentiator.

AI is making fraud more sophisticated and harder to detect.

Moving beyond a model centered on reimbursing claims to one that supports healthier outcomes earlier in the pet care journey.

The gap between how insurers invest and measure risk is widening in ways that are often difficult to detect.

Seasonal risks impact every business differently.

Underwriting, risk models and policyholder support must evolve to reflect how identity data is used in modern fraud.

The residential property management industry has a glaring risk problem: a systemic failure to treat renters insurance compliance as a continuous obligation, rather than a one-time checkbox.

AI redefines how risks are assessed, policies are priced and claims are managed.

Why technology alone doesn't drive transformation

Satellite data is reshaping the way that the insurance industry thinks about risk.

Organizations must be able to prove what happened, how it happened, and what was impacted.

AI and data are changing what's possible in global trade.

Younger workers are approaching their careers differently and flexibility, earning potential, plus work-life balance matter more.

As the "Silver Tsunami" drives a wave of retirements, AI-driven tools are redefining how insurers capture and preserve institutional expertise.

Micro-captive insurance plans under the Internal Revenue Code are providing small businesses in California the ability to rebuild faster after wildfires.

The insurance industry depends on documents built for human eyes and judgement–a combination that doesn't scale.

Steps to erase the divide between legal and risk at insurance companies.

The gap between AI ambition and IT reality isn't just a technology problem.

Insurers can empower data and risk management by leveraging advanced algorithms for compliance and insights.

The economics of risk are being reshaped not by frequency trends, but by the volatility and operational drag embedded in complex insurance claims.

In today's volatile insurance environment, AI agents can help insurers manage a wide range of transactions autonomously with speed and consistency.

The shift from transactional relationships to experience-driven engagement models is becoming a defining characteristic of successful P&C insurers.

Life insurance leaders are moving from digital transformation as a vague goal to more specific tech priorities.

The FHFA's ACV condo insurance rollback gets the balance right between affordability and safety, even if politics muddied the waters, the chairman of Whalen Global Advisors writes.

The integration of AI into insurance frameworks is also creating some legal liabilities that carriers must consider as part of any deployment.

Across the personal lines space, pricing is expected to stabilize for homeowners, auto, flood and umbrella coverage.

Three common mistakes agents make and how to avoid them.

For seven consecutive years, secondary perils have outpaced primary perils in driving aggregate insured losses globally.

Insurance leaders are implementing integrated AI platforms or components that transform entire operational workflows and reimagine how operations function.

To ensure the industry's longevity and sustain innovation, we must reimagine talent acquisition, development, and retention strategies.

The shift from product-centric insurance to experience-led, technology-enabled ecosystems is accelerating.

AI cannot replace the seasoned judgement of an experienced underwriter.

With insurance sector AI solutions, explainability has become a roadblock to broader AI adoption. But that barrier is breaking.

Insurers that advance will align technology with strategy, empower their workforce, and measure success in outcomes that matter.