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.
Artificial Intelligence
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.
Staying Unmistakably Human in the Age of AI
Here are five practical ways independent agents can leverage artificial intelligence (AI) while focusing on authentic human connection.
3 Ways to Move AI from Pilot Mode to Performance
Applying artificial intelligence (AI) to isolated tasks makes it difficult to scale into meaningful growth. Here are three ways to take a more disciplined approach.
Independent Agents Are Past AI Hype—Now Comes the Hard Part
Here are four takeaways about where artificial intelligence (AI) stands in the independent agency channel, and what agents need to do next.
ACT Agency AI Labs: How Real Agencies Are Using AI
The Agency AI Labs, hosted by the Big “I” Agents Council for Technology (ACT), revealed agencies’ top use cases and concerns with artificial intelligence (AI), plus takeaways to get to the next level in AI implementation.
4 Practical Steps for Effective AI Governance
Given the rapidly evolving regulatory and business landscape, here are four steps agents may wish to consider as they evaluate and deploy new AI tools and functionality.
From Recruiting to Revenue: Building an Automated Future
Everyone in insurance talks about growing distribution. But the gap between wanting more producers and actually activating them fast is where agencies lose ground — and talent.
The New Model: Why AI Won’t Replace Independent Insurance Agents
Artificial intelligence (AI) is not removing agents from the equation. It’s reshaping how customers approach insurance, how work gets done and where agents create the most value.
Agent Charter: Creating an AI Governance Framework to Ensure Operational Reliance
Without a framework to guide decision-making, escalation and accountability, even the most promising AI initiatives risk stalling—or worse, creating hidden exposure.
