Pipefy Surveyed AI Adoption in U.S. Companies

New research indicates that while many companies have adopted AI, few have achieved fully orchestrated end-to-end workflows.

Updated on Oct. 1, 2026 in Artificial Intelligence

Isometric editorial illustration of interlocking steel blocks representing structured business process automation. — A Pipefy survey reveals that while 67.1% of U.S. companies use artificial intelligence, only 6.6% have achieved fully orchestrated end-to-end workflows. AI Illustration. Upload story photo >

Live Poll

Do you trust that most companies are effectively managing their adoption of artificial intelligence?

A new survey from Pipefy found that 67.1% of U.S. companies now utilize artificial intelligence in some capacity. Despite this widespread interest, only 6.6% of these organizations have implemented processes that are fully orchestrated end to end.

Why it matters

Many AI initiatives currently stall because the underlying processes lack necessary governance and orchestration. Without these frameworks, companies often struggle to move beyond simple AI usage toward more efficient, automated workflows.

While 67.1% of surveyed companies use AI, only 37% utilize it on a regular basis. Furthermore, 42.6% of respondents currently switch between multiple systems and screens to complete a single process.

The players

Pipefy

Pipefy is a business process automation software provider that specializes in helping organizations build and manage complex workflows.

The details

The survey results highlight a significant reliance on human oversight, with 57.4% of respondents identifying humans as the primary orchestrators and validators for AI tasks. Additionally, 41.3% of companies are currently applying AI agents internally to handle specific internal processes.

Pipefy surveyed 148 companies throughout the first half of 2026.
Survey results were officially published on October 1, 2026.

The Tech Race

This research highlights the shift from basic AI experimentation toward a more mature phase of end-to-end business process orchestration. It underscores a competitive gap between firms that remain stuck in multi-system workflows and those that successfully integrate AI agents to streamline operations.

Business professionals should note that many current AI implementations still require manual validation and human-in-the-loop orchestration. This means employees may continue to face workflow fragmentation until their organizations invest in better backend process governance.

The takeaway

Companies looking to scale their AI capabilities must prioritize building governance frameworks that reduce the need for manual system switching. Success in AI adoption depends less on the model itself and more on the infrastructure supporting its workflow integration.