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Marketing Consultant: AI-Driven Customer Experience

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: Martech Podcast
Full Time position
Listed on 2025-12-22
Job specializations:
  • IT/Tech
    AI Engineer, Technical Support
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: California

Does AI Have a Toxic Positivity Problem?

Does AI Have a Toxic Positivity Problem? Does AI Have a Toxic Positivity Problem?

Mar Tech Podcast ™ // Marketing + Technology = Business Growth

Does AI Have a Toxic Positivity Problem?

  • AI integration fails when companies ignore human interaction needs. Stephen Roach, VP of Ecosystems and AI at Qualified Digital, specializes in balancing automation with human-centered customer experiences for Fortune 500 brands. He outlines designing better handoff triggers between AI and human agents, implementing contextual personalization that adapts to individual customer plans and preferences, and creating AI systems that enhance rather than replace human touchpoints in customer service workflows.
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AI integration fails when companies ignore human interaction needs. Stephen Roach, VP of Ecosystems and AI at Qualified Digital, specializes in balancing automation with human-centered customer experiences for Fortune 500 brands. He outlines designing better handoff triggers between AI and human agents, implementing contextual personalization that adapts to individual customer plans and preferences, and creating AI systems that enhance rather than replace human touchpoints in customer service workflows.

About the speaker

Stephen Roach Qualified Digitial

Stephen is VP of Ecosystems and AI at Qualified Digital

  • Part 1 Does AI Have a Toxic Positivity Problem?
The fundamental issue with current AI implementations is the failure to recognize that people still want to interact with other people, not automated systems.
00:37:
Kids and Streamers Example Modern children's preference for interactive streaming content demonstrates the continued human need for real co ection and communication, even in digital environments.

The solution isn't removing AI but designing customer experiences that properly integrate AI with better handoff triggers and contextual personalization for individual needs.
01:34:
Automation Balance Across Functions Every business function from marketing to customer service faces the same challenge of balancing automation benefits with quality sacrifices when human oversight is removed.
02:31:
Human Logic and Feel Businesses must strategically determine where AI should support operations versus where human interaction and decision-making remain essential for maintaining authentic co ections.

Episode Summary The Hidden Cost of AI Customer Service:
Why Human Co ection Still Matters# n

The Hidden Cost of AI Customer Service:
Why Human Co ection Still Matters# nIntroduction# Stephen Roach, VP of Ecosystems and AI at Qualified Digital, challenges the tech industry's rush to automate everything by revealing a fundamental truth: customers are rejecting AI interactions faster than companies can implement them. With experience transforming customer experiences for Fortune 500 brands including McDonald's and Hyundai, Roach brings a data-driven perspective to why AI integration without human oversight is actively driving customers away from brands.#n#n1

The Disco ect Between AI Implementation and Customer Expectations# The core issue isn't the technology itself—it's the fundamental misunderstanding of human behavior in business interactions. Roach points to a simple but powerful insight: "People want to interact with people." This becomes immediately apparent in everyday customer service scenarios. When customers call their service providers and encounter an AI voice, the reaction is instant rejection.

They don't want to navigate automated systems; they want human co ection and understanding.#n#n1

The Person alization Gap# Current AI implementations fail to recognize that every customer interaction is unique. Two customers might have identical service plans, but their needs, communication styles, and expectations are completely different. This one-size-fits-all approach to AI customer service creates friction rather than efficiency. The technology exists to provide better personalization, but most implementations miss the mark by focusing on automation over understanding.#n#n1

Strategic AI Integration:
Enhancement, Not Replacement# The solution isn't removing AI from customer service—it's redesigning experiences to integrate AI thoughtfully. Roach emphasizes that AI should enhance human capabilities rather than replace human interaction. This means developing better handoff triggers that recognize when a customer needs human assistance and creating contextual personalization that actually serves individual customer needs.#n#n1

The Quality vs. Efficiency Trade-off# Every business function faces the same challenge when implementing AI. Marketers who automate content without human oversight risk brand damage. Developers who rely entirely on AI-generated code create security vulnerabilities. Customer service departments that prioritize cost savings over customer satisfaction destroy brand loyalty. The pattern is clear: AI without human oversight…

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