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.

A2AC gives AI agents memory and a reliable way to work together across company systems.
Memory

The saved state of the work. It can include context, task status, prior results, and failure records.

Agents

AI workers that ask for work, complete work, or hand work to another approved system.

Systems

Company software, tools, files, data stores, and cloud services that need to send or receive work.

Work records

Clear records that describe what needs to happen, where it should go, and what kind of answer is expected.

Receipts

The record of what happened after the work moved: accepted, completed, failed, or returned for review.

Approved paths

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.