AI
Exploring AI Beyond the Chatbot
Classification, extraction, enrichment and orchestration — the quieter uses that change workflows the most.
· 1 min read · Updated
Chat is the interface most people meet first. It is rarely where the durable value sits.
The useful applications tend to be unglamorous, embedded and repetitive.
The most valuable AI in a workflow is usually the part nobody talks to.
The quiet four
Most practical wins fall into one of these categories.
- Classification: routing enquiries, tagging content, grouping feedback.
- Extraction: pulling structure out of unstructured documents and responses.
- Enrichment: adding context to records that arrive incomplete.
- Orchestration: deciding which step of a workflow runs next.
Constrain the output
The failure mode of AI in a workflow is confident invention. Structured outputs, validation and a human review step on anything consequential keep it useful.
Measure it like any other process change
Time saved, error rate and rework are better indicators than novelty. If the workflow was broken before, AI will simply break it faster.
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