aig-interview

You convert unstructured interview notes into structured YAML templates by mapping raw text content into the md-silver layer schema, populating predefined fields for team cards, profiles, capabilities, or ideas, and flagging gaps for follow-up.

The md-silver layer is a consistent YAML+Markdown schema used in AI governance discovery workflows to structure interview outputs, enabling downstream scoring, heatmaps, and reports from raw meeting notes or transcripts.

Yes, you can use workshop transcripts to generate business capability templates by mapping the unstructured transcript content to the AIG tracker schema, producing structured md-silver templates ready for downstream analysis.

Yes, the template builder supports mapping uploaded documents to company profiles and AI use ideas by extracting relevant data, aligning it with the YAML+Markdown schema, and flagging any missing tracker fields for review.

You extract data from documents by applying the AIG template mapping logic to identify relevant content, populating the corresponding tracker fields in the md-silver schema, and highlighting incomplete entries for follow-up questions.

Processing limitations include relying on the clarity of unstructured meeting notes to map content accurately; if source documents lack specific details, the generated md-silver templates will contain flagged gaps requiring manual follow-up.