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Join ÌÇÐÄÔ­´´'s Product Team for a walkthrough of ÌÇÐÄÔ­´´ Data Agent, new functionality in the ÌÇÐÄÔ­´´ platform that uses AI to perform much of the manual work involved in preparing, transforming, and uploading source data for carbon accounting. During this session, we'll show how ÌÇÐÄÔ­´´ Data Agent recommends mappings to fields in the platform, flags data quality issues before submission, and keeps users in control through human-in-the-loop review and approvals. You'll also see how activity logs capture recommendations, actions, and decisions throughout the data workflow for a complete audit trail, followed by live Q&A.

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What you'll learn:

• What ÌÇÐÄÔ­´´ Data Agent is and how it takes on previously manual data preparation work
• How Data Agent recommends mappings between source data and ÌÇÐÄÔ­´´ fields
• How the agent flags potential data quality issues before submission and helps users resolve them in the workflow
• How human-in-the-loop approvals and activity logs keep recommendations, actions, and decisions reviewable and auditable
• What an end-to-end Data Agent workflow looks like, from source file through preparation, review, and upload