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Forensic checks

CAM detection engine

Every audit runs a consistent set of forensic CAM checks so you do not depend on memory or one-off spreadsheet review.

Problem

The problem: manual review misses repeatable errors

CAM overcharges often follow the same patterns: management fee bases, pro-rata share denominators, excluded costs, cap calculations, gross-up rules, and base year manipulation. A manual review can miss these checks when the file is rushed or the reviewer only searches for obvious line items.

Solution

The solution: a standard detection checklist on every audit

CAMAudit runs CAM detection rules against the extracted lease and reconciliation data. Each rule targets a known CAM audit failure mode, giving your firm a consistent review layer before you decide which findings belong in the client conversation.

Proof points

What this feature gives your firm

Math-heavy rules include management fees, pro-rata share, gross-up, caps, and base year checks.

Classification rules check excluded services, insurance, taxes, utilities, and common area treatment.

GL extension rules support deeper review when detailed ledgers are available.

Advisory rules flag issues that may need expert review without inflating recovery totals.

Workflow

How cAM detection rules works

01

Map inputs to rules

Extracted lease and statement fields determine which rule branches can run.

02

Run every applicable check

The engine applies the detection logic and produces findings, skips, or advisory notes.

03

Package findings for review

You see amounts, confidence, supporting references, and rule context before delivery.

FAQ

Questions about cAM detection rules

Are the CAM detection rules run on every audit?

The engine evaluates the full rule set and runs the branches supported by the documents. If a file lacks required data for a branch, the result is skipped or advisory rather than invented.

Why are advisory rules separate from recovery totals?

Advisory findings can be useful, but they should not inflate a recovery number. They flag review questions without counting as confirmed overcharge dollars.

Next step

See how the full white-label platform fits together.