Digitate’s 2025 study ‘Agentic AI and the Future of Enterprise IT’, conducted by Sapio Research, has pointed to a heightened level of enterprise maturity across North America as agentic AI continues to shift the landscape.
Drawing on responses from 600 IT decision-makers across the US and Canada, the study, published in December 2025, revealed that near-universal AI adoption and growing maturity have increased trust levels and progress toward agentic AI systems, unlocking measurable business value and returns on investment (ROI) that position IT as a foundational building block of the autonomous enterprise.
Generative AI remains the most widely deployed model, with 74% of respondents actively using it, while 44% have already introduced agentic AI and 43% use agent-based AI. On average, respondents use five AI tools across multiple functions.
94% of organizations surveyed consider AI trustworthy, dipping to 87% in sensitive sectors like healthcare and government. This trust is driving an increase in autonomous use cases, with 45% of enterprises operating semi- to fully autonomous AI functions today. This is projected to reach 74% by 2030, with 53% expecting to be fully autonomous.
Only 25% of respondents foresee AI replacing jobs, while 62% expect it to assist new functions, with 44% seeing improved accuracy, 43% noting enhanced efficiency, and 42% reporting stronger data management as top benefits already realized.
Most organizations are adopting an AI-human collaboration mindset, with over half of respondents seeing Agentic AI as changing essential tasks, enabling full departmental reorganization, and enhancing human work to improve accuracy, efficiency, and productivity.
Major use cases for AI agents in the next 12 months include cost optimization (65%) and proactive issue management (55%). AI agents have proven most successful in enabling customer self-service (49%) and reporting/analytics (48%), the only two functions where agents are considered more useful than traditional AI tools.
Despite widespread success, 94% of organizations cite drawbacks with AI tools they have already implemented, with required human intervention, cost of implementation and maintenance, and ongoing oversight topping the list. 96% face adoption obstacles, primarily due to a lack of technical skills or the need to upskill staff, followed by a lack of budget to implement A. The rising cost of technology ranks as the second biggest external threat after cybersecurity.
Commenting on the results of the study, Avi Bhagtani, Chief Marketing Officer at Digitate, said: “In just three years, AI has moved from an operational utility to a strategic capability - one that's trusted, governed, and measurable. AI maturity is accelerating the shift to the autonomous enterprise, enabling effective human-AI collaboration, and proving that IT is a driver of tangible business outcomes. Organizations have moved from experimenting with automation to scaling AI for meaningful and sustained impact.”