Most GTM teams have deployed AI agents. The problem is they have no idea what those agents are doing.
According to LeanData’s 2026 State of AI Go-to-Market Readiness Report, 93% of GTM teams have deployed at least one AI agent. Yet nearly one-third of respondents could not say how many agents were actively taking actions on their records. Thirty percent had already found agent-executed actions with no audit trail to explain them.
The Oversight Gap
The agents are not operating in a sandbox. They are working directly inside the same customer data, workflows, routing rules, and systems that MOps teams have been managing for years. That makes invisible agent activity a data integrity problem, not just a governance headache.
Seventy percent of respondents said data hygiene has degraded GTM execution. Data quality and AI readiness were cited as the top AI transformation challenges by 55% of respondents.
Who Owns GTM AI Strategy
Ownership is fragmented. Forty-two percent said a cross-functional committee holds responsibility for GTM AI strategy. Nineteen percent said nobody owns it and AI remains ad hoc. RevOps is the designated owner at 18% of organizations. Only 8% said they had enough staff to handle both AI deployment and ongoing governance.
Where Teams Actually Are
Sixty-nine percent use AI features embedded directly in GTM tools like Gong, Outreach, or HubSpot. Seventy-nine percent said they are either deploying their first agent use cases or already scaling agents across go-to-market. The sample skewed toward operations roles: 36% of respondents were in RevOps and 13% in MOps.
The core tension is straightforward. Deployment is moving faster than the controls designed to manage it. If your team is in that 19% with no designated owner, that gap is worth closing before an agent quietly corrupts a routing rule or mangles a lead record with no trace of what happened.
