AI Agent Governance: Why Centralized Approval Backfires
Mandating centralized approval for AI agents pushes them underground. Learn why making the governed path easiest is the governance model that works.
Mandating centralized approval for AI agents pushes them underground. Learn why making the governed path easiest is the governance model that works.
When a core martech platform underperforms, most teams jump to replacement. The diagnostic that determines whether to replace or orchestrate gets skipped.
CEOs are building marketing for execution and grading it on strategy. The Boathouse 2026 CEO Study quantifies the mechanism and what CMOs should do about it.
Vendors relabel automation as agentic AI while organizations lack the operating model to use it. A two-front diagnostic for marketing leaders before investment.
Nearly a third of martech implementations fail, with buyer-side decisions as the primary cause. Three actions shift accountability where it belongs.
AI didn't create marketing's structural failures. It exposed them. Six communities converge on the same diagnosis: operationalize marketing before scaling AI.
Martech sales reps change vendors every 18-30 months. That pattern is your signal to build a stronger evaluation process.
Most martech implementations fail because they prioritize vendors or features over outcomes. How outcome-focused implementation changes the results.
Standard vendor demos hide implementation reality. Evaluation techniques that reveal genuine agility and partnership potential during martech vendor selection.