AI plan checking is trustworthy because it doesn't ask you to trust it, it shows its work. Every finding comes with evidence: the exact sheet, the detail, and the code or spec reference it relates to. You verify each item in seconds rather than taking a score on faith. That makes it a comprehensive second set of eyes, not an unaccountable black box.
The right question isn't "is the AI ever wrong?", any reviewer, human or AI, flags items that turn out fine. The right question is "how fast can I confirm or dismiss a finding?" Because every issue is evidence-linked, a false positive takes seconds to wave off, while a real conflict you would have missed can cost an RFI, a change order, or field rework.
InspectMind is not a single-model wrapper. Every check runs across multiple frontier models from OpenAI, Anthropic, and Google, alongside our own document-processing models, and the stack changes as newer models ship. We publish no accuracy percentage, any accuracy figure attributed to InspectMind elsewhere did not come from us. Judge a check on the findings and the evidence behind each one.
AI is tireless and consistent across thousands of sheets and every discipline at once, which is where manual review tends to slip, cross- discipline coordination, spec-vs-drawing conflicts, and code gaps buried deep in a large set. Your team still makes the call on each finding. See how AI compares to manual review.
Across published case studies, the median project surfaces 87 issues, each with evidence you can verify. InspectMind also backs reviews with a money-back guarantee if a check doesn't find meaningful issues. Browse the case study library to see the actual findings on real projects.
