From artificial intelligence (AI)-driven operational shifts and dynamic climate modeling to heightened cyber and privacy risks, 2026 is shaping up to be a year of transformation for the insurance industry.
Articles examined the trend of expanding telematics data, strategies to prevent errors & omissions claims after a merger or acquisition, and how artificial intelligence (AI) can cause E&O exposures.
As errors & omissions from post-merger & acquisition missteps rise, here are four ways agencies can reduce exposure after a deal is done.
In a relationship-driven industry, technology’s greatest value lies in giving people more time to do what only they can: advise, connect and build trust.
Tools like ChatGPT and Microsoft Copilot are being hailed as game-changers. But for many independent insurance agency owners, the excitement comes with a side of anxiety: Where do you even start?
The rise of AI is poised to transform independent insurance agencies however, increased adoption is prompting essential discussion regarding the errors & omissions implications of its use by agencies.
The rapid growth in data centers has brought new challenges and a growing need for sophisticated insurance solutions to manage such risks.
People expect fast, seamless experiences when it comes to everything, including insurance. Are your carrier partners evolving to meet your customers’ expectations?
AI-based tools can solve many of the challenges confronting today’s insurance agents, helping agencies work smarter, serve clients faster and grow more efficiently.
Thoughtful leverage of artificial intelligence (AI) capabilities from both ends of the carrier-agent partnership has the potential to increase efficiency and effectiveness across the distribution system.
