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Insights

Finance leadership, written plainly. Practical guidance on the numbers, systems, and decisions behind companies scaling from $10M to $500M.

  1. Insight

    Making marketing data trustworthy enough to hand an AI agent

    You cannot put an AI agent on data the business does not trust. Marketing data is usually the least trusted in the company. Here is the order of operations: agree definitions, integrate the sources, then let AI find the insight.

  2. Analysis

    Three AI use cases that earn their keep in revenue operations

    Most AI pilots in revenue operations stall because they are pointed at dirty data and vague goals. Three use cases consistently pay off: pipeline hygiene, forecast variance, and account research. Here is why they work and how to govern them.

Insights · F3 Insights