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In this episode of the Human-First AI Marketing Podcast, Mike Montague talks with David Levine, author of Old School Service, New School Tools, about how small businesses can use AI without losing the personal touch that keeps customers coming back. David shares lessons from nearly 20 years of running a brick-and-mortar business, where strong relationships, genuine conversations, and memorable service helped him compete without the biggest budget or the lowest prices.

Together, they explore how AI can act as a multiplier for customer service, marketing, and follow-up, freeing business owners to spend more time shaking hands, picking up the phone, listening to customers, and building trust. The big takeaway: technology changes, but human nature does not. The businesses that win will use new school tools to make old school service easier, more consistent, and more scalable.

Key Takeaways:

• Use AI as a multiplier for better human service. David’s core message is that AI should speed up repetitive tasks so business owners can spend more time calling customers, visiting clients, listening, and making people feel valued.
• Technology changes, but human nature does not. Tools will keep evolving, but people still want to be seen, heard, appreciated, and helped by real humans.
• Customer experience matters more than customer service departments. David encourages businesses to think of service as the full customer experience, with sales, support, operations, and follow-up all working together.
• Listening sells better than selling. He argues that many customers avoid salespeople because they feel sold to, while salespeople who listen closely can create better conversations and better outcomes.
• Authentic reviews build trust; fake reviews destroy it. David warns against buying reviews and recommends earning steady, real feedback from happy customers, even if that means only asking for a few reviews each week.
• Bad reviews can become opportunities. He explains that AI can help business owners pause, de-escalate, and draft thoughtful responses when emotions are running high after a negative review.
• Follow-up should add value instead of saying “just checking in.” David points out that generic follow-ups feel empty, while AI can help create more useful, customized messages that serve the customer.
• Small moments create raving fans. Smiles, sincere apologies, quick communication, surprise value-adds, and anticipating customer needs all help turn ordinary service into memorable experiences.
• Protect your team if you want happy customers. David connects employee experience to customer experience, sharing that a happy, motivated team is more likely to create positive customer moments.
• Raving fans beat AI. His biggest takeaway is that companies using AI to create more time for real customer connection will build loyal fans, and those fans remain more powerful than any algorithm.

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