Agentic AI’s challenge is getting agents to act like a team, not a crowd
Adding more artificial intelligence agents to the workflow doesn’t make an enterprise smarter. In fact, it can make operations harder to manage. The problem is not the capabilities of individual agents but how well they work together.
Many enterprises are moving from experimenting with single AI agents to a multi-level approach that spans functions such as customer care, supply chain and finance. Each works in isolation, and coordinating their actions and ensuring they move toward a single goal is a challenge.
The problem is no longer how to create AI agents, but how to ensure they work together rather than creating hurdles for each other.
Traditional workflows were built for linear, predictable processes. They work well when conditions are stable. But modern enterprise operations are dynamic and interconnected. Multi-agent systems had tremendous potential to adapt to changing conditions, but only when supported by a dedicated orchestration infrastructure.
