AI Can’t Fix What Your Business Can’t Define

97% of companies have active AI initiatives. Only 5% say their data is ready to support them. So what does that gap actually cost you — and what does "ready" even mean?

In this episode, Katie Brown (VP of Revenue Operations at Kami) joins Matthew Volm to break down why AI can't fix what your business can't define. They cover data readiness, metric governance, the real meaning of "source of truth," and how RevOps can build the foundational infrastructure that makes AI actually work.

Whether you've already deployed AI or are still figuring out where to start, this conversation will help you pressure-test your data foundation before you build anything on top of it.

🎙️ Speakers:

- Katie Brown, VP of Revenue Operations at Kami — https://www.linkedin.com/in/katherinetbrown/

- Matthew Volm, CEO & Founder of RevOps Co-op — https://www.linkedin.com/in/matthewvolm/

🔗 Resources:

- Join the RevOps Co-op community: https://www.revopscoop.com/membership/membership-options

- Episode 106: Why Good CRMs Fail: https://revopscoop.com/podcast/why-good-crms-fail

- Episode 50: Thinking of AI? Think Data First: https://revopscoop.com/podcast/ai-revops-data-strategy

- RevOps Co-op Podcast Library: https://www.revopscoop.com/podcast

👉 Join the RevOps Co-op community: https://www.revopscoop.com/membership/membership-options