The problem is not just intelligence. It is coordination.
A single chatbot can answer a question. A real company process usually needs more than that. It may need a sales system, an email system, a document, a database, an approval, an AI service, a tool, and a human reviewer.
Without a coordination layer, every handoff becomes a custom script, a vague message, or a separate integration that is hard to inspect later.
Agents need shared memory.
When work moves from one agent or system to another, the next system needs to know what was requested, what already happened, what context matters, and what should happen if the work fails.
A2AC keeps that task state and passes it forward in a clear format.
Agents need clear handoffs.
A2AC turns requests into clear task records. The record says what work is requested, where it should go, what result is expected, and how errors should be returned.
This lets agents, tools, business processes, and company systems work together without relying on fragile chat messages.
Teams need records.
When work is complete, A2AC records the result or error. That makes it easier to see what happened, where it went, what returned, and what failed.