The methodology, in pieces.
Long-form on AI-readiness, revenue operations, and what it takes to make modern AI tools actually deliver ROI inside a real revenue stack.
AI on broken foundations: why your AI tools aren't producing ROI
The dominant 2026 RevOps problem isn't AI strategy — it's whether the data, processes, and governance underneath the AI can be trusted at all. A diagnosis.
~9 min read MethodologyThe six dimensions of an AI-ready revenue stack
What each dimension measures, why it's weighted the way it is, and the most common failure mode in each. The framework, decomposed.
~12 min read Decision frameworkWhen not to buy AI: a checklist for RevOps leaders
The honest version. If your foundation looks like this, every dollar of new AI spend will produce noise instead of signal. A specific decision framework.
~7 min readMore articles on the way.
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