Enterprises are increasingly focused on how artificial intelligence agents collaborate effectively, shifting the focus from individual agent performance to the orchestration of multi-agent systems. This trend highlights the growing importance of agent-to-agent communication and coordination across various platforms.

According to Tim Sanders, chief innovation officer at G2, effective orchestration is crucial to prevent misunderstandings between AI agents, which can lead to compromised actions and potential security risks such as hallucinations and data leakage. "Agent-to-agent communications is emerging as a really big deal," Sanders told VentureBeat. "Because if you don't orchestrate it, you get misunderstandings, like people speaking foreign languages to each other."

Orchestration, traditionally centered on data management, is evolving to encompass action-oriented processes. Emerging solutions are designed to integrate AI agents, robotic process automation (RPA), and data repositories, functioning as conductors to harmonize these diverse elements. Sanders drew a parallel to the evolution of answer engine optimization, which progressed from basic monitoring to the creation of customized content and code.

The development of orchestration platforms aims to ensure consistent outcomes by coordinating a variety of agentic solutions. This coordinated approach is vital as AI agents become more prevalent in complex enterprise workflows. The ability of these agents to communicate and coordinate effectively is becoming a key differentiator for businesses seeking to leverage AI for competitive advantage.