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RFI extraction

Drawing conflicts and missing info - surfaced before you bid.

RFI extraction means reading every sheet looking for what's wrong, what's missing, and what's contradictory. Kamai does the first pass.

Cross-sheet inconsistencies - dimensions that don't add up, schedules that don't match the plan, callouts that point to nothing - are exactly the patterns the models are built to find.

Output is a structured list of candidate RFIs, each linked to the sheet, the geometry, and the rule that flagged it.

How it works

From sheet set to structured output.

01
Kamai parses the full set

Same vector-native pass as takeoff.

02
Cross-sheet checks run

Schedule-to-plan reconciliation, dimension-chain validation, callout resolution.

03
RFI candidates emitted

Each with a citation: which sheet, which geometry, which rule failed.

04
Project team reviews

Confirm, dismiss, or escalate - Kamai keeps the structured record.

What you get

The outputs at the end of the pipeline.

  • Cross-sheet inconsistencies
  • Missing or unresolved callouts
  • Dimension-chain violations
  • Schedule-to-plan mismatches
Trades it fits

RFI extraction works across these disciplines.

RFI extraction - automated.

See it run on your drawing set.

Upload a real sheet and see the output in minutes. No sales call required.