AI Workflow Assistant

An assistant that reads incoming operational documents, extracts the fields a team actually keys in by hand, and routes anything it is unsure about to a human, with the source passage attached.

An operations team was reading PDFs and emails and retyping the same eight fields into an internal tool. It was slow, it was inconsistent between people, and a generic chatbot pilot had failed because nobody could tell where an answer came from.

• Extract structured fields from unstructured documents
• Make every extraction traceable to its source text
• Route low-confidence results to a human instead of guessing
• Keep inference cost proportional to document volume

Documents are chunked and embedded into a vector index; extraction runs as a structured tool call against Claude with a strict schema, so the model returns typed fields rather than prose. Each field carries the passage it came from and a confidence value, and anything below threshold lands in a review queue where a human correction is captured as training signal. Responses are cached by document hash so re-processing costs nothing.

• Manual re-keying replaced by review of pre-filled, cited fields
• Uncertain extractions surfaced for humans instead of silently guessed
• Repeat processing made effectively free through hash-based caching

The hard part of shipping AI in a business process is not the model. It is provenance, thresholds and a human path for the cases the model should not decide.