Insure Think

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

AI may be accelerating and scaling digital crime, but the same underlying technology is poised to advance cybersecurity intelligence and strengthen defenses.

Successful risk management pairs AI-driven efficiency with human insight and aligns digital initiatives with strategic business goals.

How to include empathy and prototyping into change management.

Insurance is constantly evolving and now the focus is on returning to the fundamentals and preparing for future growth.

When embedded within a case management framework, Agentic AI can detect subtle anomalies, highlight inconsistencies, and surface patterns traditional systems miss.

Three things brokers can do to retain and grow their client base through M&A transitions.

It's important that managing data enables speed, accountability, and trust at scale.

A better approach is to offer communication options intentionally, not reactively.

Parametric providers can notify policyholders when an event triggers a claim, which can then be processed in days, helping customers get back to business more quickly.

As more insurers tie credits to connected technologies, monitoring will become a basic expectation rather than an added feature.

The adoption of AI requires buy-in from all departments and levels, and is a tool that can help insurers manage vast amounts of data more effectively.

New technologies are helping insurers practice ESG principles in a real and meaningful way.

The next evolution of AI in insurance involves capturing and amplifying the human behavioral intelligence that differentiates between good and great risk assessment.

The trends include cybersecurity, a new digital workforce and strategic growth through transformation.

Without federal oversight establishing uniform standards for AI use or data privacy protection, individual states have created their own rules.

TPAs are adopting intelligent digital solutions for data extraction, transaction processing and compliance, for higher accuracy and better use of employees' time

Global challenges demand coordinated international action and smarter regulation.

Insurance has always been about helping people survive the unexpected and that survival has never been more vital and complex.

Breaches are a matter of when, not if they will occur, and businesses can take key steps to mitigate their risk.

Insurance companies must take a fresh look at the billing and payments experience.

The first time a significant catastrophe occurs, it's a black swan, and then it becomes part of the operating environment for risk management.

Collaboration is vital in technology adoption with IT providing the technical depth and infrastructure expertise, while operations defines the outcomes that matter.

Today's emerging technology trends have given way to a measured approach focused on compliance and sustainability.

Vendors should focus on integration, interoperability and reliability.

Insurance companies must rethink legacy processes and embrace technology.

Life insurance should continue to evolve by adding flexibility, accessibility and immediate value.

Climate change costs are increasing and insurance is not keeping pace, so some assets could become uninsurable over time.

Behavioral science offers solutions to aid in customer comprehension of life insurance.

Insurers should adopt a customer-first strategy that fuses high-tech tools with high-touch engagement.

How to build a more resilient and efficient CAT playbook through communication automation.

Comprehensive mental health benefits, including financial, substance use and youth components, are necessary to cover the needs of a workforce.

AI-powered risk assessment is helping insurers move from reactive to predictive.

The integration of AI into the workers' comp space begins by making it predictive, prescriptive and focusing on the use of Agentic AI.

The hasty embrace of AI requires directors to treat governance as more than financial stewardship, pushing boards beyond passive review to proactively shaping policy.

The rapid evolution of AI-related risks make established insurance principles more vital than ever.

Consumer-facing applications like chatbots and personalized product recommendations make interactions faster, more tailored and more transparent.

Automation and AI offer ways to tailor the shopping and management experience, but the digital interaction must be balanced with human support.

AI is transforming every aspect of insurance from claims to underwriting, allowing carriers to personalize policies to customers' needs.

Prepping clients for natural disasters and climate emergencies should start with coverage and end with estate planning.

A shift is underway to serve small businesses efficiently and profitably with streamlined tools and products tailored to their needs.

By making healthcare more affordable for work, businesses reap rewards in the long run.

Understanding the factors that can lead to new product failure and learning the keys to successful outcomes.

Insurers are reimagining operating models, products and value propositions.

The adoption of Agentic AI enables carriers to redefine insurance from initial customer contact through claims resolution.

A look at why causal reasoning—not more data—must drive insurance innovation.

Insurers should adopt proactive security measures and build resilience into systems.

Budget cuts at the federal disaster agency are forcing insurance carriers to rethink underwriting, reinsurance, and catastrophe modeling, and pivot accordingly.

A comprehensive benefits package, including voluntary benefits, can help employees spend less on medical care and keep their savings intact.

As insurers, the job is to help clients model the previously unmodellable.

Enterprise data governance is the foundation for safe, scalable AI that transforms underwriting, claims, and distribution.

Modernization should never be viewed solely as an IT project.