Failed verification is a high-cost event in carbon markets, consuming weeks of rework, delaying revenue, and eroding project credibility. This workflow automates an internal, peer-review style validation to surface inconsistencies, missing documentation, and protocol misalignments before the formal audit. It deploys specialized AI agents—a Completeness Agent, a Consistency Agent, and a Protocol Agent—to critique evidence packages against a defined rubric, flagging issues for human remediation. This pre-flight check transforms verification from a reactive, high-stakes exam into a controlled, iterative quality process.




