Hacks & Hobbies

How Kaboom’s Responsible AI Is Redefining Revenue & Relationships — with Anoushka & Ram (Kaboom AI)

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Synopsis

5 Big Takeaways Responsible AI = augmentation, not replacement – Kaboom’s core principle is simple: keep a human in the loop and use AI to make people superhuman, not obsolete. Trust starts with security, not slogans – SOC 2, audits, and enterprise-grade security aren’t “nice to have”; they are table stakes for serious AI in revenue teams. Most AI pilots fail on adoption, not ideas – Without organizational readiness, internal champions, and patience, even the best AI never gets past the shiny demo stage. Bring AI to where humans live – Adoption skyrockets when AI lives inside existing workflows (email, WhatsApp, microsites), instead of forcing people to “go to the AI.” Relationships will always stay human – AI should handle the follow-ups, research, and repetition so you can focus on what actually moves the needle: real human relationships.   Episode Timestamps [00:01:19] What “Responsible AI” Actually Means at Kaboom Anoushka breaks down their one-sentence definition of responsible AI—and why a human-in-the