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A Pipefy survey found that 67.1% of its U.S. respondents use AI in at least some processes, but just 6.6% reported processes that are fully orchestrated end to end. The figures point to a gap between using AI for tasks and coordinating the surrounding work—not a census showing that 67% of all U.S. companies use AI.
What the survey says about AI use and orchestration
Pipefy published its findings on October 1, 2026, reporting responses from companies in its customer base in Brazil and the United States. Among the U.S. findings, 67.1% said they use AI in some processes, while 37% said they use it regularly. Those are distinct measures: having AI in at least one process does not necessarily mean using it regularly.
The orchestration figures show a different part of the picture. Only 6.6% of respondents reported processes that were fully orchestrated end to end. Meanwhile, 42.6% said they still switch among multiple systems and screens to complete a process. The survey does not say these groups are mutually exclusive, so the percentages should not be treated as parts of a single total.
In practical terms, adopting an AI model or agent for an individual task is not the same as coordinating the full process around it. Orchestration can involve connecting systems, defining what an agent is allowed to do, keeping an audit trail, and requiring human validation at steps where risk warrants it.
How to interpret the 67% figure
The 67% headline rounds Pipefy’s reported 67.1%. It describes survey respondents, not all U.S. businesses. Pipefy says it surveyed 148 companies from its customer base in Brazil and the United States using a structured questionnaire during the first half of 2026. Its release does not give the number of U.S. respondents or establish that the sample represents U.S. companies generally.
Accordingly, the supported claim is that 67.1% of Pipefy’s U.S. survey respondents reported using AI in some processes. The result is useful as a snapshot of that surveyed customer-base group, but it cannot establish the national adoption rate.
What respondents said about AI agents and human oversight
Pipefy reports that 41.3% of respondents were already applying AI agents in internal processes, and another 41.3% planned to use them. Those figures describe current and planned use as reported in the survey; they do not show how many planned deployments will happen or whether existing agents operate autonomously.
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On oversight, 57.4% saw people as orchestrators and validators. Another 34.4% said they would delegate to an AI agent if its rules were well defined and auditable. The answers suggest that respondents viewed clear controls and human involvement as relevant to agent use, rather than treating agent adoption as synonymous with unrestricted autonomy.
What companies weigh when buying AI
In Pipefy’s tally of AI purchase considerations, ease of team adoption accounted for 28% of mentions, operational gains for 27%, and clear business benefits and return on investment for 19%. The release does not explain whether respondents could select multiple criteria, so these are best read as shares of mentions rather than exclusive choices.
The results suggest that implementation concerns sit alongside expected business value: a tool has to fit how teams work, not merely offer AI capability. They do not compare vendors or show that any particular product delivers the stated benefits.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Why orchestration matters beyond the AI model
Pipefy’s CPO and AI Strategy Leader, Sobhan Daliry, said, “AI projects rarely stall because the model is wrong. They stall because the process around it was never built to be governed and orchestrated.” He also described an orchestration layer as a way to run agents within defined boundaries, maintain audit trails, and place human validation where risk requires it. These are vendor executive views, not independent conclusions from the survey.
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1Clear out junk files and repair common Windows errors2Fix the driver behind crashes, sound loss and screen glitches3Repair Windows errors before they cause bigger problemsThe reported multi-screen work points to a practical implementation challenge: AI may be present in a task while people still have to move information across applications and supervise disconnected steps. Integrators and managed service providers may find work in connecting systems, defining controls, assigning approval points, and tracking actions. That is an opportunity category discussed by Channel Insider, not a measured forecast or proof that any provider will be effective.
Quick Recap
What the findings establish—and what they do not
- Established: In Pipefy’s 2026 survey, 67.1% of U.S. respondents reported using AI in some processes and 37% said they used it regularly.
- Established: The same survey reports 6.6% with fully end-to-end orchestrated processes and 42.6% still switching between systems and screens for a process.
- Not established: The proportion of all U.S. companies that use AI; the release omits the U.S. subgroup size and does not establish a representative sample.
- Not established: Which orchestration platform performs best, or whether a specific provider or product resolves the reported fragmentation.
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