Enterprises shift towards multi-platform orchestration in agentic AI

A recent survey of 107 enterprises has unveiled a significant shift towards multi-platform orchestration in agentic AI. This transition indicates that organizations are moving beyond mere model selection to focus on effective orchestration and control of their AI systems. The findings reveal that the average enterprise employs 3.1 orchestration platforms, underscoring the complexity of managing AI applications in production environments.

The survey highlights that 41% of enterprises identify Microsoft AI Foundry / Copilot Studio as their primary orchestration platform. Additionally, 67% of respondents plan to adopt a new or additional orchestration platform within the next year, reflecting a proactive approach to enhancing their AI capabilities. However, 21% of enterprises still lack real-time mechanisms to control runaway agent costs, indicating a gap in effective governance.

The landscape of agentic AI is evolving as enterprises prioritize orchestration and governance over simple model selection. With a significant majority of organizations running multiple platforms, the complexities of AI management are becoming increasingly apparent. This trend is driven by the need for enhanced security and permissions, as enterprises seek hybrid control solutions to navigate these challenges.

The survey was conducted in July 2026, with findings published in August 2026, marking a timely exploration of enterprise AI strategies. As Microsoft and Anthropic emerge as leading choices for orchestration platforms, the competitive dynamics within the AI sector are shifting. This evolution is crucial for stakeholders aiming to balance flexibility with oversight in their AI initiatives.

Looking ahead, enterprises will likely increase their investment in monitoring and governance tools to manage the complexities of multi-platform orchestration. The focus will shift towards ensuring security and cost-effectiveness as organizations adapt to the evolving landscape of agentic AI. Observing how enterprises balance public cloud services with in-house AI solutions will be critical in understanding future trends.

Furthermore, the evolution of security and permissions frameworks in AI orchestration will be essential to watch. As organizations continue to refine their AI strategies, the emphasis on governance and cost control will shape the future of enterprise AI management.