For years, enterprise content has been treated like a storage problem. Documents were organized, archived, and secured across shared drives, PDFs, presentations, and internal systems. Companies built enormous libraries of customer research, campaign data, transcripts, and institutional knowledge. The assumption was simple: if the information existed somewhere, it could eventually be found and used. In practice, that rarely happens efficiently. Teams searching for specific insights often end up digging through folders, reopening old reports, and piecing together information manually across disconnected systems. Most organizations don’t lack information. They suffer from a lack of accessible, usable knowledge when decisions need to be made. That challenge is becoming far more important in the AI era. Organizations already possess massive amounts of valuable unstructured content, but historically, extracting meaningful insight from it required significant human effort.…