The race to build usable AI agents is moving beyond prototypes, and startups are now focusing on the infrastructure needed to deploy them at scale.
Cresta has introduced a new platform called Conductor, designed to help companies build, manage, and coordinate AI agents across business workflows. The product positions itself as an “agent for AI agents,” focusing on orchestration rather than just model development.
Instead of building isolated AI tools for specific tasks, Conductor allows organisations to design systems where multiple AI agents can work together, communicate, and execute complex processes with minimal human input.
The platform is aimed at enterprise teams looking to automate customer support, sales operations, internal workflows, and decision-making systems. Cresta says the goal is to move AI from single-task assistants into coordinated systems that can handle end-to-end operations.
At its core, Conductor acts as a control layer for AI agents. It allows businesses to define roles, assign tasks, monitor performance, and manage how different agents interact within a shared environment. This orchestration model is becoming increasingly important as companies deploy multiple AI systems across different parts of their operations.
The launch reflects a broader shift in the AI industry, where the focus is moving from model training to deployment infrastructure. As AI becomes more capable, the challenge is no longer just building smarter models, but ensuring those models can operate reliably in real-world environments.
Cresta is positioning Conductor as part of that infrastructure layer. The company believes enterprises will soon rely on networks of specialised AI agents rather than a single general-purpose assistant.
The development also highlights a growing trend in what many in the industry call the “agent economy,” where AI systems are not just tools but active participants in business processes. In this model, agents handle tasks, coordinate with other systems, and execute workflows across different platforms.
While still early in adoption, companies across tech and enterprise software are increasingly investing in agent-based architectures as they prepare for more autonomous digital operations.
Cresta’s move signals that the competition in AI is no longer limited to model performance alone. The real race is now about who can build the best systems to control, coordinate, and scale AI agents in production environments.
Read also: Anthropic CEO Calls for AI Safety Regulation as Company Prepares for IPO