From Data Chaos to Clarity: How AI Is Changing the Game for RevOps

I had a great time speaking at RevOps AF in New Orleans last week on a topic close to my heart – how AI can modernize go-to-market teams.

If you’ve worked in Revenue Operations, you’ve lived the chaos.

You’ve chased down reps for CRM updates. Sat through meetings to align on basic definitions. Built reports no one opened. And you’ve probably heard “your data’s bad” more times than you can count — even when it wasn’t.

The truth is, our biggest productivity killers aren’t people. They’re the invisible gaps between systems, definitions, and teams. At RevOpsAF 2025, I shared why now is the time to fix those gaps, and how AI can help.

‍The Real Villain: Data Drift and Process Gaps

RevOps is supposed to be the engine that keeps go-to-market teams aligned and accountable. But when you’re stuck reconciling conflicting dashboards or manually stitching together insights, you’re not enabling the team — you’re chasing ghosts.

Too often, teams invest in expensive tools and analytics headcount, only to end up with more dashboards and less clarity. Why? Because data entry is still manual. Definitions vary by team. And legacy BI platforms can’t keep up with today’s pace.

AI Isn’t the Threat — It’s the Assist

AI won’t replace your team. It will give them superpowers.

But skepticism is real — and deserved. Many tools slap “AI” on top of outdated infrastructure. It’s up to us as operators to cut through the noise, pressure vendors with real questions, and choose solutions that actually solve the right problems.

Here’s what I’ve found works:

• ‍Start small. Tie AI to one real business outcome — like supplementing data capture or answering common forecast questions.‍
• Encourage SQL literacy. It’s not just for analysts anymore. Pairing SQL with AI unlocks serious leverage. You can find more on this here. ‍
• Define metrics once. Apply them everywhere. This alone can save hours of misalignment each week.

What We’re Building at TigerEye

At TigerEye, we built a platform where AI doesn’t just sit on top — it’s part of the foundation.

Our AI understands go-to-market workflows because it was built by a team with decades of GTM experience. It’s embedded in a SQL-based architecture that makes every metric transparent and traceable. You define what “win rate” or “new logo” means for your business — and TigerEye applies that definition everywhere, from dashboards to TigerChat to goal tracking.

We recently launched TigerEye Official Metrics to lock in key definitions and enforce them across your stack. No more debating dashboards. No more conflicting reports. Just trusted numbers your whole team can rally around.

Looking Ahead: Vertical AI, Working Together The future isn’t one massive general-purpose model. It’s networks of specialized AI working together — sales AI, support AI, finance AI — each trained in the language and logic of its domain.

TigerEye combines the precision of vertical AI with the flexibility of horizontal integration. That means faster answers, smarter decisions, and less time spent untangling the data mess.

And if you’re in RevOps, you know, that’s the real superpower.

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