The report from Nylas, based on responses from over 1,000 developers and product leaders, reveals the current state of agentic AI in product development. A significant 85% of respondents believe agentic AI will become essential within the next three years, with one-third expecting this shift within just 12 months. Currently, 64.4% of teams have it on their product roadmaps, indicating a major move from experimentation to core strategy. Despite differing definitions of what agentic AI entails—ranging from workflow automation to autonomous systems—67% of teams are actively building custom workflows, demonstrating that practical implementation is already underway. Trust, governance, and operational efficiency are shaping the adoption of agentic AI more than model capabilities. Over 60% of teams cite issues like control and failure handling as significant barriers to adoption. Most teams are not allowing agents to operate autonomously; only 4% currently permit agents to act without human approval, preferring instead to keep humans involved in decision-making for more critical tasks. The report emphasizes that while public discussions may frame agentic AI as a new frontier, many organizations are already integrating it into day-to-day operations, particularly in internal workflows where speed and coordination are crucial. The findings reflect a shift in focus within organizations. Teams are prioritizing internal applications—like engineering automation and IT processes—before rolling out more visible customer-facing features. Agentic AI is proving its value in repetitive, time-sensitive tasks where delays can have a significant impact. As companies become comfortable with these systems, the boundaries of autonomy are likely to expand, leading to more widespread adoption and integration into core operations.