Optimizing AI: The Foundation Necessary To Build Efficient, Revenue-Focused Agentic AI

More than three-quarters (76%) of B2B organizations have implemented or are deploying agentic AI, with 86% expecting to see ROI within a year (and 40% within six months), according to the results from RevSure’s recent report.

“The mandate is clear,” says The 2026 State of Agentic AI in B2B GTM report. “AI must deliver measurable, revenue-adjacent value, and it must deliver it quickly.”

When it comes to adopting AI, 25% have embedded it into their workflows, 26% are in the early stages of experimentation, and 29% are piloting “multiple use cases,” working against such challenges as lead quality issues (47%), data quality and unification gaps (47%), and sales follow-up consistency (36%).

  AI Adoption (Source: RevSure)

“Leaders claim efficiency, but their barriers reveal a system held together by manual effort, not operational clarity,” says the report. 

Organizations operating inside what RevSure calls “a maze of disconnected tools, manual scripts, and brittle data handoffs” need foundational strength that offers not only what they call “structural integrity,” but what all-in-one marketing platforms like Mirabel’s Marketing Manager provide for getting the most efficiency out of unified data.

“Efficiency cannot be measured by volume or speed alone,” the report says. “It emerges only when data, action, and accountability operate within a unified model, something most organizations do not yet have.”

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