Customer support has always been built around humans doing the work. At Kodif, Co-Founder and CEO Chyngyz Dzhumanazarov is rethinking that “atomic unit of work” with AI customer support agents that can resolve complex tickets, spot patterns in incoming cases, and recommend process improvements, all while keeping human oversight in place.Kodif’s AI automation platform empowers non-technical teams to design, test, and run their own support workflows. The result: faster resolutions, better insights, and new roles like “AI Manager” appearing inside customer experience teams.In this episode, Daniel talks with Chyngyz about why the first wave of AI support tools often failed, how Kodif is changing the way companies approach CX automation, and why naivete can be an advantage when building in AI. They also explore how trust, transparency, and human coaching keep AI from becoming a black box.🔑 What You’ll Learn in This Episode✅ Why the “atomic unit of work” in support is shifting from humans to AI✅ How Kodif empowers non-technical teams to build and iterate on AI automations✅ Why naivete can be a strength for a non-technical founder in AI✅ How trust and transparency shape AI adoption in customer experience✅ Why job titles like “AI Manager” are starting to appear in support teams🔗 Resources & Links🤝 Connect with Chyngyz on LinkedIn: https://www.linkedin.com/in/cdzhuman/🤖 Learn more about Kodif: https://kodif.ai/📩 Subscribe to the Artificial Insights newsletter for summaries and takeaways: https://manary.haus/podcast/#haus👉 Have a guest in mind? Reach out to Daniel at [email protected] 🚀 Enjoyed this episode? Leave a review and share it with someone building in AI or ops!

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