Smart Document Assistant
An experiment exploring how AI can help organize and summarize complex documents while keeping a human reviewer in the loop.
Hypothesis
If AI drafts a structured summary and a person approves it, review time drops without a loss of accountability.
Problem
Long, inconsistent documents make specific details slow to find.
Experiment design
- Parse documents into sections and extract candidate fields
- Ask the model for a structured summary with source references
- Route every draft through a reviewer queue
- Index only approved records for search
Technology and technique
Document extraction, structured summarization, and human review.
Human involvement
A person reviews and approves the model's output before it is used. The AI drafts; the reviewer decides.
Result
A working prototype that shows AI can reduce repetitive reading work without removing human accountability.
Limitations
- Summaries can omit context that only appears in tables or scans.
- Quality degrades on documents longer than the tested range.
Ethics and privacy
Only illustrative and synthetic documents were used; no personal data.
AI output is treated as a draft and must be reviewed before use.
Next step
Add reference highlighting so reviewers can verify a claim in one click.