Why Project Managers and Change Managers Need to Stop Running on Parallel Tracks
The system goes live and the project is declared a success. But then, six months later, someone asks: Is anyone actually using it?
Technology and Tools
AI Liability Is Already in Your Clients’ Operations
The liability exposure brought by artificial intelligence (AI)-enabled tools often isn’t recognized until a claim emerges. Here’s how to uncover the AI risks that traditional reviews often miss.
5 Commercial Auto Insurance Challenges for Operators Using EVs
Electric vehicles (EVs) are one way commercial auto operators can reduce operational costs. But EV adoption also introduces new exposures, including cyber vulnerabilities, battery fire hazards and higher repair costs.
Keeping a Human in the Loop Remains Crucial to Insurance Buyers as They Accept AI Tools
A new Big “I” survey finds consumers embrace AI-powered service but still want the expertise and guidance of a dedicated human insurance agent.
5 Ways Insurance Agencies Can Reduce AI-Driven E&O Exposures
While the advantages of artificial intelligence (AI) can be significant, these benefits come with risks. Here are five ways to manage your agency’s exposure.
Turning Risk Data into Guidance for Homeowners
As homeowners insurance becomes more expensive and complex, agents can play a larger role in helping clients understand and manage risks.
Telematics and Tort Reform Can Curb Commercial Auto Losses
As commercial auto insurance challenges persist, the industry is increasingly leveraging telematics and supporting proposals to address third-party litigation funding.
Agents Using AI Save 4 Hours a Week, Says Liberty Mutual Study
Almost 2 in 3 independent insurance agents used AI on the job at least a few times in the past year, making agency governance all the more crucial.
Why AI Belongs on Your Org Chart, Not in Your Tech Stack
Artificial intelligence (AI) isn’t delivering features, it’s delivering work. Someone has to manage that work.
How High-Performing Agencies Keep Their Best Agents
Many agents are not leaving because they lack earning potential. They are leaving because the day-to-day experience of doing their job has become unnecessarily difficult.
