The basic parts of A2AC.
A2AC is easier to understand when it is broken into a few plain objects: memory, agents, systems, work records, receipts, and approved paths.
Mesh means the work stays connected.
When work moves from one agent to another, from a model to a tool, or from a browser session to a business system, A2AC keeps the task state, memory, permissions, and receipt trail connected.
The saved state of the work. It can include context, task status, prior results, and failure records.
AI workers that ask for work, complete work, or hand work to another approved system.
Company software, tools, files, data stores, and cloud services that need to send or receive work.
Clear records that describe what needs to happen, where it should go, and what kind of answer is expected.
The record of what happened after the work moved: accepted, completed, failed, or returned for review.
The allowed routes between agents, tools, and systems. A2AC helps stop every team from inventing a different handoff.
Why these parts matter.
Most company AI work does not fail because one answer is missing. It fails because work gets lost between agents, tools, business processes, and systems. A2AC gives those handoffs a shared structure.