There is a pattern I have seen repeat itself across modernization programs of every size: The project is delivered on time. Within budget. The go-live happens. The team celebrates. Six months later, the company is spending more than it did before.

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.