Manual RTM maintenance becomes impossible as requirements grow. You need proof of coverage, but you're drowning in document versions.
Real output
A real NDA intake illustrates this workflow: baseline results, rubric scores and the evidence behind individual findings.
19 baseline sections across the whole intake. The totals row shows where the drift is concentrated - section 1 differs in 4 of 6 documents.
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Baseline result, rubric score and a verdict with reasons help reviewers decide what to inspect next. People confirm the findings.
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Each criterion scores the share of its expectations met. Scores roll up by weight. Critical and high-severity failures are counted separately.
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Read the baseline and incoming agreement together. Verified quotations resolve to source text; inspect the interpretation before confirming the finding.
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Why Docsie
Use consistent references and inspectable evidence to support human review.
Use a requirements rubric to locate supporting content and gaps. A requirements check grades one body at a time; keep lifecycle IDs and bidirectional links in your engineering records.
The model judges whether each expectation is met; code computes its share met and weighted rollups. Inspect that evidence before accepting a score.
Approve a sample to freeze the baseline and rubric, then repeat separate checks across the intake. The matrices and review reasons help prioritize human review, including possible false flags.
Examples of review questions the workflow can support.
Product example: Engineering documentation requirements check with scores and evidence. Open the image to inspect the review output.
Review evidence for aerospace requirements across design, verification and test documents. Keep the requirement ID and source revision in your review records; confirm the evidence with the responsible engineer.
Product example: Editable engineering documentation rubric and expectations. Open the image to inspect the review output.
Check coverage of user needs, risk controls and verification expectations in medical-device documentation. Use cited findings to support a qualified review of the design history file.
Product example: wireless-device source documentation compared by architectural and technical subject.
Review customer requirements, system specifications and interface documents. A factory repeats the same baseline and rubric checks for each subsystem document.
Everything you need to automate requirements traceability with cited evidence.
Finds requirement satisfaction across different wording and document structures, not just keyword matches.
Open the cited source text behind a finding and confirm its interpretation before accepting the result.
The model judges expectation coverage; code computes the share met and weighted score. A requirements check grades one body at a time.
Compare shared concepts across 2–6 source collections. Use a requirements rubric to assess one body of content against your defined expectations.
Prioritize review from each document’s verdict and cited findings. Confirm false flags before accepting a result.
Run another comparison when the content changes and review the cited findings against the approved reference.
Common Questions
What systems engineers ask about automated requirements traceability.
Q: How does Docsie handle different requirement formats and numbering schemes?
A: Import a document or list, or draft the rubric with AI. Review and edit the requirements and their expectations before grading. Source comparison can also match related concepts across 2–6 sources.
Q: Can I trace requirements across document versions and baselines?
A: Compare a revision against your approved baseline and inspect the cited changes. Update your traceability records after a reviewer confirms the finding.
Q: What if a requirement is partially satisfied across multiple documents?
A: Each requirement scores the share of its expectations met, and weights roll scores up. One requirements check grades one body of content; a factory repeats separate checks across documents.
Q: How do I prove traceability in an audit with cited evidence?
A: Cited evidence can support your traceability review, but a report does not certify compliance with DO-178C, IEC 62304 or ISO 26262. A qualified reviewer determines whether the evidence satisfies your process.
Q: Can I freeze a baseline for validated or certified systems?
A: A factory freezes its baseline and rubric when you approve a sample. Changing either requires a new sample approval. False flags can occur, so confirm the results before accepting them.
Q: Will clean documents pass without review?
A: Not reliably today. False flags can put clean documents into review. The factory triages every document with reasons; people confirm the findings before accepting the result.
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