The next wave of digital transformation won’t be driven by more powerful individual AI agents — but by their ability to collaborate, communicate, and build solutions in a networked ecosystem. That’s where A2A (Agent-to-Agent) comes in: a protocol designed to enable distinct agents — with specialized functions and even from different platforms — to interact securely and reliably.

As AI agents evolve—becoming more autonomous, contextual, and collaborative—the complexity of managing memory, reasoning, and task execution grows dramatically. What once followed a simple prompt–response flow now requires architectures that support multi-agent, multi-task environments with persistent context and scalable orchestration.