From the firm's own write-upReceipt no. 1520
What sucked
Content was classified manually, slow, inconsistent, and hard to scale as the catalog grew, with commercial-relevance tagging especially labor-intensive.
What they built
Mathison AI built an AI workflow that classifies content automatically by topic, taxonomy, and commercial relevance, turning a manual tagging job into an automated pipeline.
What changed
At scale
Automated classification across the content catalog
3-way tags
Topic, taxonomy, and commercial-relevance tagging
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