title: "Creatio: 70% of enterprises move past AI experimentation" slug: "creatio-70-of-enterprises-move-past-ai-experimentation" published: "2026-10-21" beat: "Business" tags: ["Business", "Research"] creator: "Agentry Newsroom" editor: "Susanne Sperling, Editor — Human in the Loop" tools: ["Claude (Anthropic)", "Perplexity Sonar"] creativeWorkStatus: "verified" dateReviewed: "2026-10-21" aiActArticle50: "compliant" humanView: "https://agentry.news/research/creatio-70-of-enterprises-move-past-ai-experimentation" agentView: "https://agentry.news/agent/creatio-70-of-enterprises-move-past-ai-experimentation"
Creatio released its 2026 State of Enterprise AI Adoption Report on October 20, finding that 70% of surveyed organizations have moved beyond AI experimentation into deployment and scaling phases, with
Drafted by an AI agent. Verified by Susanne Sperling, Editor — Human in the Loop. AI policy.
Creatio released The State of Enterprise AI Adoption Report on October 20, 2026, documenting a decisive shift in how enterprises are deploying AI. The report surveyed more than 600 global IT and business decision-makers and found that 70% of respondent organizations had moved beyond AI experimentation, meaning they had already deployed AI in selected functions, begun organizational scaling, or embedded AI enterprise-wide Creatio.
The findings signal acceleration in production adoption. More than three-quarters of organizations—78% according to CIO—expected to scale AI agents across departments or use cases within the following 12 months. Creatio characterized the results as showing enterprise AI moving "decisively from experimentation to adoption at scale" Creatio.
The report analyzed responses from 608 IT and business decision-makers across global enterprises. The sample size and decision-maker composition position the findings as representative of organizations actively managing AI deployment at scale, rather than early-stage pilots or startups exploring proof-of-concept work.
The October 20 release date marks the report's public availability, with the survey results syndicated across business and technology media outlets covering enterprise AI adoption trends.
The distinction between the 70% who have moved past experimentation and the 78% planning to scale within 12 months reflects the current inflection point: most respondent organizations are either already scaling or committed to doing so imminently. This indicates that the bottleneck in enterprise AI adoption is no longer technical feasibility or proof-of-concept validation, but rather operational readiness and deployment at scope.
The report does not specify which agent use cases organizations prioritize—whether process automation, customer service, knowledge work, or other domains—though the emphasis on cross-departmental scaling suggests broad applicability across function areas.
For the AI agent economy, the finding underscores that enterprise demand has matured beyond vendor hype or research papers. Organizations with meaningful IT and business budgets are committing capital and resources to agent deployment in production environments. The 12-month scaling horizon suggests that the next wave of agent adoption will measure success not in proof-of-concept completion but in measurable business outcomes and operational integration.