Math accuracy
Dollar amounts are calculated by deterministic rules, not guessed by AI.
Problem
A CAM audit finding needs a reproducible calculation. If a model summarizes a clause and then guesses the amount, the partner cannot defend the number to a client, landlord, attorney, or internal reviewer. That risk gets worse when leases use caps, exclusions, occupancy adjustments, or multi-year compounding.
Solution
CAMAudit uses AI for document extraction and classification, then sends financial work to deterministic Python rules. The calculation path can be inspected, re-run, and explained with the source inputs that produced the number.
Proof points
Management fee calculations use explicit fee bases and percentages.
Pro-rata checks compare the lease-defined share against the statement share.
Cap and base year checks use deterministic formulas for supported lease structures.
AI never invents recovery dollars or performs final arithmetic.
Workflow
01
The engine uses extracted lease language to decide which formula applies.
02
Python rules calculate expected charges, billed charges, and deltas.
03
Partners can review the assumptions behind each finding before publishing.
Related feature pages
Every audit runs a consistent set of forensic CAM checks so partners do not depend on memory or one-off spreadsheet review.
Findings are stronger when the report shows the clause, statement line, and calculation path behind the issue.
Confidence scoring helps partners separate clear math findings from issues that need judgment.
Related guides and tools
FAQ
No. AI assists with extraction and classification. Financial calculations run through deterministic code so the result is reproducible.
Partners need numbers they can explain. A deterministic calculation is easier to defend than a model-generated estimate because the inputs, formula, and result can be checked.
Next step
