The Help Desk

Early Customer Signals and AI Experiments

1 h 8 min · 5. Aug. 2025
Episode Early Customer Signals and AI Experiments Cover

Beschreibung

In this episode, we dive into what’s been happening at Ravenna since the funding announcement. We discuss landing early customers, how the team uses Ravenna internally (bugs and all), and why building in public beats going stealth. We dive into some reflection on AI hype, a look at how Ravenna experiments with LLMs, and a healthy dose of “figuring it out as we go.”

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Episode No one cares about the Help Desk | John Matthews (CIO) Cover

No one cares about the Help Desk | John Matthews (CIO)

In this episode of The Help Desk, host Kevin Coleman sits down with John Matthews, legendary Seattle-area IT veteran, former CIO at F5 Networks and ExtraHop, and longtime Microsoft leader, for a candid, no-BS conversation about the future of IT, AI, and internal services. John pulls back the curtain on what it’s actually like to run technology at scale: why “all software kind of sucks,” why no one cares about the help desk until everything breaks, and why AI is both the most exciting and terrifying shift CIOs have faced in decades. Drawing from decades of experience, he shares practical guidance on how leaders should approach AI, not as a hype-driven cost-cutting exercise, but as a tool to grow capacity, empower teams, and make work suck less. You’ll hear John’s sharp takes on: * Why AI should be deployed first in low-stakes, high-impact operational workflows * The hidden power (and politics) of the help desk and ticketing systems * How CIOs can safely learn AI before rolling it out to revenue-critical teams * The “find it, fund it, fit it, fix it” framework for adopting new technology * Why automation should unlock growth—not just eliminate headcount If you’re a CIO, IT leader, or operator navigating AI pressure from the board while still trying to keep the lights on, this episode is packed with hard-earned wisdom, practical advice, and refreshingly honest perspective.

16. Dez. 202541 min