14. You’re Doing Artificial Intelligence Wrong – Go Small or Go Home!
Four of eight errors to avoid when applying AI to your organization.
Why Carriers Should Care About Downline Data
Recruiting and retaining top-performing agents will naturally lead to revenue growth. What drives agent performance requires access to data that needs to be accessed, standardized, and analyzed.
12. Why AI Transformation Efforts Fail – The Answers Might Not Surprise You (Part 1 of 2)
The successful implementation of AI in health insurance distribution goes beyond merely adopting new technologies—it requires a deep organizational transformation.
Why Data Transparency is Critical to Retaining Top-Performing Agents
Recruiting and retaining top-performing agents will naturally lead to revenue growth. What drives agent performance requires access to data that needs to be accessed, standardized, and analyzed.
How AI is Changing the Game for Agents – and What it Means for Carriers
Recruiting and retaining top-performing agents will naturally lead to revenue growth. What drives agent performance requires access to data that needs to be accessed, standardized, and analyzed.
11. Can AI Help Create a More Valuable Health Insurance Organization?
AI has the potential to significantly enhance the value of health insurance organizations by enabling strategic and data-driven decision-making.
Four Ways Commission Management Drives Positive ROI
Commission management drives positive ROI through increased agent footprint, motivating agents to sell, reducing attrition, and increasing cost savings.
10. Data is the New Gold? We Think That’s All Wet
Thinking of your data as a water source, rather than a vein of gold, can lead to faster implementation and more value creation from your data.
How to Attract, Motivate, and Retain the Best Agents
Make commissions a competitive advantage instead of a business disruptor. e123’s Commissions for Carriers makes accurate, timely, transparent, and flexible commissions possible.
9. Ethical Considerations for AI in Health Insurance Distribution
Accountability from both business and technology leaders is essential to align AI projects with ethical goals, fostering responsible innovation.