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.
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.
AI can draft your month-end variance narrative in seconds. The risk is an explanation no one can trace back to the ledger. Here is the governed pattern that keeps the speed and the audit trail.