Stage 1 / 4System stage
Discover and collect
Gather recent candidate sources through scheduled feeds and controlled discovery methods.
Anonymized client case · Information monitoring
Policy-source processing reduced from about one hour to under 70 seconds in testing.
A public-sector research team needed to find, filter, summarize, and review relevant developments across a growing source landscape without giving up human control.
- Manual baseline
- About 1 hour per signal
- Automated processing
- 24 to 68 seconds per source
- Valid-source extraction
- 100% in the test
- Final decision
- Human reviewer
01
The challenge
The existing process required advisors to search for sources, open documents, judge relevance, extract implications, summarize the material, and prepare it for a weekly briefing.
02 · Interactive workflow
What changed
01Discover and collectSystem stage02Extract and validateSystem stage03Score and summarizeSystem stage04ReviewHuman handoff
Stage 2 / 4System stage
Extract and validate
Read web pages and PDFs, reject unusable inputs, and verify source metadata.
Stage 3 / 4System stage
Score and summarize
Combine semantic and keyword relevance, then create concise evidence-linked summaries.
Stage 4 / 4Human handoff
Review
Present results in a dashboard where advisors approve, reject, edit, and prioritize.
03
Measured impact
Automated processing took approximately 24 seconds for known-relevant sources and about 68 seconds for borderline or irrelevant sources in the evaluation, compared with roughly one hour of manual work per signal.
Evidence and context
Every valid source in the extraction test was processed successfully. The only unusable item was an invalid supplied URL. The improved relevance screen recognized every valid previously selected relevant source in its test group and produced no false positives on the clearly irrelevant test group.
04
Important context
These figures describe a proof-of-concept evaluation, not an autonomous production claim. The relevance test used previously selected examples, and the dashboard was deliberately designed for human approval, source checking, and correction.
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