A2AC in plain English.
A2AC is the coordination platform that lets AI agents, services, tools, software connections, workers, and business systems hand work to each other safely. It is the layer that turns “go do this” into a clear work request with routing, rules, results, errors, and records.
What is A2AC?
A2AC is a work coordination platform for company AI. It receives a request from an agent or system, packages it as a clear task, sends it to an approved AI service, software connection, worker, or private system, and captures the result or error.
What does A2AC stand for?
A2AC stands for Agent-to-Agent Coordination. The name reflects the platform goal: helping agents, AI services, tools, software connections, workers, and company systems coordinate work through clear handoffs.
Does A2AC still mean communication?
Yes. A2AC began as agent-to-agent communication. The platform grew into coordination because communication alone is not enough once work crosses AI services, software tools, approvals, and business systems.
What is a coordination layer?
A coordination layer sits between systems and organizes how work moves. It does not replace your agents, AI services, tools, or applications. It gives them a shared way to request work, execute it, return results, handle failures, and keep records.
Is A2AC a wrapper around one AI service?
No. A wrapper usually adds a screen or process around one AI service. A2AC sits below that level. It coordinates work across many services, agents, software connections, workers, and company systems.
Is A2AC the same as Google's agent-to-agent work?
No. Google's agent-to-agent work focuses on communication between agents. A2AC is a coordination platform. It can support compatible agents, but it adds routing, rules, work control, structured records, visibility, and audit records around agent communication.
Why do I need A2AC?
You need A2AC when AI work starts crossing system boundaries. It replaces loose chat handoffs, one-off scripts, and scattered integrations with clear, governed, executable, and auditable work records.
Short version.
Agent-to-agent communication moves messages. A2AC coordinates work. It uses clear handoffs to make agent work governable, executable, and auditable across AI services, software connections, workers, and company systems.