Does AI do the math calculations?

No. AI extracts your lease terms and classifies expense categories. All math, including management fee caps, pro-rata share verification, and CAM cap calculations, runs through deterministic Python code. The numbers are exact and reproducible, not AI-generated estimates.

How accurate is the OCR on scanned documents?

AWS Textract achieves high accuracy on clean scans of typed documents. Tables and structured data extract well. Handwritten figures, very small fonts, and low-resolution scans reduce accuracy. If extraction misses a field, CAMAudit notes the gap in the results rather than guessing.

What if a lease provision is missing or unclear?

When a required lease term cannot be extracted, the detection rule that depends on it is marked as unable to run rather than producing a false result. You will see which rules ran and which were skipped, and why. A partial audit still catches the rules that had enough data.

How long does it take for large documents?

Most audits complete in under 5 minutes regardless of document size. Both documents are processed in parallel, and detection rules run simultaneously once extraction finishes. A 200-page lease and a 50-page reconciliation take the same time as smaller documents.

From Upload to Overcharge Report in Under 5 Minutes

From upload to results, the whole pipeline runs in under 5 minutes. Here's what happens at each step.

Pipeline diagram: upload, OCR, extraction, detection rules, report

OCR reads your documents

Both documents go through OCR at the same time. The system reads every page, including scanned images. Tables and line items in your reconciliation statement are parsed into structured data.

This runs in parallel so two-document uploads do not take twice as long.

AI extracts your lease terms

Claude AI reads the extracted text and locates the specific provisions that matter for CAM charges: your pro-rata share percentage, management fee cap, any CAM cap language, your base year (if you have one), and any expense categories your lease explicitly excludes.

This extraction runs separately for each document, also in parallel.

13 detection rules run

Once extraction is done, twelve checks run against your data. Math-heavy rules are deterministic: they calculate the exact dollar amount of any overcharge. No AI is involved in the math.

Why separate math from AI?

AI is good at reading documents and classifying expenses. It is not reliable for precise arithmetic. All calculations use deterministic Python code so the numbers are exact and auditable.

Classification rules use AI to flag expenses that do not belong in CAM charges based on your lease's exclusion language.

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AI extracts your lease terms

This extraction runs separately for each document, also in parallel.

13 detection rules run

Once extraction is done, twelve checks run against your data. Math-heavy rules are deterministic: they calculate the exact dollar amount of any overcharge. No AI is involved in the math.

Why separate math from AI?

AI is good at reading documents and classifying expenses. It is not reliable for precise arithmetic. All calculations use deterministic Python code so the numbers are exact and auditable.

Classification rules use AI to flag expenses that do not belong in CAM charges based on your lease's exclusion language.