How startups can achieve outsized results by leveraging multi-agent systems

In March, AWS announced the general availability of its new multi-agent capabilities, bringing the technology into the hands of businesses across almost every industry. Until now, organizations have mostly relied on single-agent AI systems, which handle individual tasks but often struggle with complex workflows.

These systems can also break down when businesses encounter unexpected scenarios outside their traditional data pipelines. Google also recently announced ADK (Agent Development Kit) for developing multi-agent systems and A2A (Agent to Agent) protocol for agents to communicate with each other, signaling a broader industry shift toward collaborative AI frameworks.

The general availability of multi-agent systems changes the game for startups. Instead of a single AI managing tasks in isolation, these systems feature robust and manageable networks of independent agents working collaboratively to divide skills, optimize workflows and adapt to shifting challenges. Unlike single-agent models, multi-agent systems operate with a division of ...