Document B · section 2
Two versions. One change.
The review now needs a named owner.
Compare the approved documents. Keep the quoted evidence beside the finding.
Supported by the supplied text
AI for Research
We build AI research workflows that search, structure, compare, summarize, and surface evidence — while keeping the analyst in control.
Show us the research workflow
Follow the evidence
Document A · earlier version
“Submit the review to the team.”
Document B · revised version
“Submit the review to a named owner.”
Document B · section 2
Two versions. One change.
The review now needs a named owner.
Compare the approved documents. Keep the quoted evidence beside the finding.
Supported by the supplied text
Documents A + B
A date is not in the source.
When does the new process take effect?
Neither document gives an effective date. Flag the gap rather than filling it with an assumption.
Needs analyst follow-up
Evidence and open questions travel with the draft
A draft is not a conclusion.
The ownership requirement changed; timing remains unconfirmed.
The analyst checks the source versions, resolves the missing information, and signs off on the final output.
Final interpretation stays with the analyst
The work behind the work
Research gets faster when people stop spending hours just finding and organizing the material.
Where AI can help
Good candidates, grouped by the work they support. The starting point depends on your process, data, and controls.
How it works
Search, structure, compare, summarize, and surface evidence. Keep the analyst in control of the conclusion.
Traceability
A good research system makes that question easy to answer. Traceability is part of the workflow, not a footnote added later.
Keep the document and supporting passage close to the claim, so the analyst can check the original.
Retrieve only the material the person is allowed to see. Access boundaries apply before synthesis.
Make uncertainty and gaps visible instead of smoothing them into a confident paragraph.
The analyst checks the evidence, interprets what it means, and owns the final output.
What to measure
Possible measures, not promised results. Establish your baseline first, then test whether the workflow improves.
Your next move
Show us how your team gathers and checks sources today. We’ll show you where AI can do the finding, so analysts keep the judgment.
A few lines is enough. We’ll reply by email with what’s worth doing first.