Latest / Future of Work Tech with Fexingo: Remote Tools, AI Productivity, and Workplace Software
How AI Is Automating Your Internal Knowledge Tagging
Lucas and Luna explore a surprisingly heavy lift for enterprise AI: automated knowledge tagging. Most companies have thousands of internal documents, wikis, and chat histories with zero metadata. Lucas unpacks how one mid-size B2B SaaS company used an open-source model to tag 50,000 internal documents in under three hours — work that would have taken a team of librarians months. He breaks down the cost difference: roughly three hundred dollars in compute versus seventy-five thousand dollars in human labor. Luna challenges whether automated tags are accurate enough for legal and compliance…
The skinny
The skinny isn't ready yet — notes appear once the transcript is processed.