A global study of multinational organizations’ integration of agentic AI found that more than 68% of organizations will have integrated autonomous or semi-autonomous AI agents into their core operations by 2026. This includes nearly one in four (23%) respondents who reported in August 2025 that they were within six months from integrating AI agents that can operate semi-autonomously or with defined guardrails under human supervision. The data comes from Protiviti a global consulting firm that provides clients with consulting and managed solutions in finance, technology, operations, data, digital, legal, HR, risk and internal audit through a network of more than 90 offices in over 25 countries. It comes from their report from their AI Pulse Survey series: From Automation to Autonomy: The Capabilities and Complexities of AI Agents.
The study found that although most respondents prefer semi-autonomous agents, almost 20% are using or will use fully autonomous agents within the next year, outstripping those with longer-term plans by a significant margin.
Protiviti’s survey also shows that an additional 27% of organizations plan to integrate agentic and multi-agent AI systems into their operations within the next six months. These early deployments are typically restricted to bounded domains, where AI agents are granted limited autonomy under human oversight, a model that allows organizations to capture value while mitigating potential risk.
“Agentic AI represents the next chapter of corporate transformation,” said Tom Andreesen, Protiviti AI Leader. “Successful organizations are starting with semi-autonomous models that build trust and confidence, before scaling toward greater autonomy as their capabilities mature. The future of AI in business will be defined by this progression from controlled pilots to trusted, organization-wide decision-making.”
The report shows a strong near-term focus on integrating agentic AI, with more than half of organizations actively planning to implement agentic AI in the next year, and only about 5% targeting a 3-to-5-year horizon. While most organizations prioritize agentic capabilities in the near term, the organizations at more advanced stages of AI adoption, specifically those in the optimization and transformation phases (Stages 4-5), are leading the way in integration.
Other key findings from the report include that 77% of the most mature organizations are already using or expect to use AI agents for repetitive tasks. This reflects a push from high-maturity organizations to turn agents into competitive assets and scale AI for performance and strategic impact.
Organizations in the early stages of their AI journey (Stages 1–2) are still in exploratory phases, with 33% targeting integration within 12 months and 28% within 1–2 years. As organizations begin to engage more actively, 45% of respondents cite vendor partnerships and open-source ecosystem participation as common strategies to build foundational capabilities in agentic AI.
A notable perception gap exists between executives and employees at lower levels. Among board and C-suite executives, 37% expect to integrate semi-autonomous agents, while 31% foresee fully autonomous agents. Mid-level and operational staff remain more cautious, with only 17% expecting full autonomy, possibly due to their closer proximity to operational risks and implementation challenges. Healthcare, tech, and retail sectors are among those prioritizing real-time data processing and insight generation through agentic AI. Financial services organizations are focused on automating complex decision-making tasks, leveraging their existing real-time data infrastructure. Government and manufacturing & distribution sectors show slightly more conservative outlooks, likely due to regulatory constraints and risk-averse operational environments.
“Senior leaders see agentic AI as a catalyst for scale, speed, and competitive advantage,” said Patrick Anderson, Managing Director, AI. “The opportunity is clear — the real work lies in closing the readiness gap to turn ambition into capability. Organizations that invest in the right governance frameworks, internal skill sets, and have strategic clarity will be the ones to scale successfully.”
The data comes from about 900 responses globally from C-suite executives, board members, vice presidents, and director- and manager-level professionals in diverse industries including technology. The respondents’ primary job functions included IT, operations, finance, and compliance, executive and board, among others.