In this conversation, Wes and Michael Hudlow discuss the use of AI in CRM systems. 

https://blog.thesaleswhisperer.com/p/michael-hudlow-2

They talk about Michael's experience writing a book on AI and how he used AI tools in the process. 

They also discuss the importance of human interaction in business and the potential risks and benefits of AI. 

Michael explains how AI can be used in CRM systems for the automation of emails, live account insights, lead conversion, lead scoring, and customer retention. 

He also emphasizes the need for companies to have a policy on the proper use of AI. 

The conversation explores the role of AI in business and the importance of asking the right questions when implementing AI tools. 

It emphasizes the value of human intelligence, ethics, and proper problem-solving processes in conjunction with AI. 

The discussion also touches on the misuse of AI in spamming and the need for responsible AI practices. 

The guest shares insights from his books on AI and offers practical advice for companies and individuals navigating the AI landscape.

Takeaways
AI can be used in CRM systems for automation of emails, live account insights, lead conversion, lead scoring, and customer retention.
Companies should have a policy on the proper use of AI to avoid potential risks and ensure responsible use.

Human interaction and personalization are still important in business, and AI should be used to enhance these aspects rather than replace them.
AI tools can help clean and standardize data in CRM systems, improving data quality and accuracy. 

AI is a powerful tool, but it should be used in conjunction with human intelligence, ethics, and proper problem-solving processes.

The value of AI lies in asking the right questions and understanding the actual problems that need to be solved.

Misuse of AI, such as spamming, can have negative consequences and should be avoided.

Companies and individuals should approach AI implementation with caution and ensure proper policies and protections are in place.

Human oversight is crucial in reviewing AI-generated outputs and ensuring responsible practices.

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