About CAMAudit
I built CAMAudit to give partner firms a repeatable way to deliver forensic CAM audit findings under their own brand. What started as a question turned into a platform for branded intake, deterministic detection, client reports, and dispute-letter drafts.
The Problem
Landlords control every variable in CAM billing: what gets included, how denominators are set, and when statements arrive. Commercial real estate clients receive dense annual reconciliation statements with a 90-day window to dispute them.
Traditional audit firms charge $2,500 to $8,000 upfront plus 33% contingency on any recovery. That math often blocks accounting firms, tenant reps, lease administrators, and consultants from packaging CAM review as a scalable client service.
According to IREM's Journal of Property Management and Tango Analytics, 30-40% of CAM statements contain billing errors. Most of those overcharges go unchallenged because tenants have no practical way to verify them.
The Solution
CAMAudit gives partner teams a structured forensic audit workflow. The platform extracts lease and reconciliation data using AWS Textract and the extraction model AI, then runs 20 deterministic detection rules to identify billing errors with specific dollar amounts.
The iron rule: the extraction model classifies, Python calculates. AI is used only for data extraction and expense classification. Every overcharge amount is calculated by deterministic Python code, not language model estimation. That makes every finding defensible.
Partner workspaces run the full pipeline, produce branded findings, and support partner-led client delivery. Review the white-label details to see what a full report looks like.
20 Detection Rules
Each rule targets a specific billing error pattern found in commercial CAM reconciliations. Math rules (3, 4, 5, 6, 7, 8, 18) use deterministic Python formulas. Classification rules (1, 2, 9, 10, 11, 12, 13) use the extraction model to classify expenses against lease terms. GL financial rules (14–17) analyze general ledger data when available. Advisory rules (19–20) flag amortization and allocation methodology issues.
Gross Lease Charges
Detects CAM charges billed under gross leases where CAM is included in base rent.
Excluded Service Charges
Identifies services explicitly excluded from CAM per lease terms.
Management Fee Overcharge
Verifies admin fees against lease-specified percentage caps.
Pro-Rata Share Error
Checks occupancy denominator, anchor exclusions, and square footage calculations.
Gross-Up Violation
Verifies gross-up clauses for variable expenses at specified occupancy thresholds.
CAM Cap Violation
Checks year-over-year increases against lease cap provisions.
Base Year Error
Verifies base year selection, expense inclusion, and calculation methodology.
Controllable Expense Cap Overcharge
Checks controllable expense year-over-year increases against cap provisions.
Insurance Overcharge
Classifies insurance passthrough charges against lease exclusions.
Tax Overallocation
Checks property tax passthroughs for excluded parcels and calculation errors.
Utility Overcharge
Detects utility double-billing and non-CAM utility inclusions.
Common Area Misclassification
Identifies non-common-area costs billed as CAM.
Landlord Overhead Pass-Through
Identifies landlord administrative overhead and internal costs billed as CAM.
GL CapEx in Operating Pool
Identifies capital expenditures misclassified as operating expenses in the GL.
Vendor Concentration / Related-Party Risk
Flags contracts where a single vendor or related party dominates CAM spending.
GL vs. Statement Total Mismatch
Detects discrepancies between the GL total and the reconciliation statement total.
GL Period / Timing Error
Identifies expenses booked outside the lease year improperly included in CAM.
Estimated Payment True-Up Error
Verifies that estimated payment reconciliations match actual billed amounts.
Capex Amortization Compliance
Verifies that capital expenditure amortization schedules comply with lease terms.
Allocation Methodology Mismatch
Detects inconsistencies in how shared costs are allocated across tenants.
Built by Angel Campa, Founder
I am a Principal SDET (Software Development Engineer in Test) by day, and the founder of CAMAudit. My background is in software engineering and quality, not commercial real estate. What I brought to this problem is systems thinking and a deep distrust of processes that rely on manual error detection.
I built CAMAudit because the CAM audit market has an obvious failure mode: firms with trusted tenant relationships often lack a practical audit delivery system. After testing reconciliation samples from published audit cases through CAMAudit, the pattern became clear: the math errors are predictable, the detection rules are definable, and the dispute process follows a repeatable structure. All of that can be automated.
The goal is straightforward: give partner firms the forensic audit infrastructure they need to serve commercial tenant clients without building it from scratch.
A note from the founder
This is a solo-operated, bootstrapped business. That might be a reason to walk away, and I understand. CAMAudit is not a private-equity rollup or a venture-backed startup with millions to burn on enterprise sales.
What I can promise you is this: I will do everything I can to give you the best CAM-audit experience you have ever had. I read every customer note personally, I take every support call personally, and I read every feature request. If something is broken, I fix it within 24 hours of the report. I care about every single tenant who lands on this site, and I want to recover every dollar your landlord billed you that they should not have.
My goal is to give any commercial tenant, regardless of portfolio size, world-class personalized service. If that sounds like the kind of partner you want auditing your reconciliation, start a 30-day free trial. And if you decide CAMAudit is not for you, I still appreciate you taking a look, and I would love to hear what made you pass so I can fix it.
Here is my LinkedIn: linkedin.com/in/angelcampa1/. Reach out any time.
Looking forward to hearing from you.
Angel Campa, Founder
By the Numbers
20
forensic detection rules
3
partner delivery models
WL
white-label reports
50
50-state legal references
Frequently Asked Questions
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Questions about the platform, partnership opportunities, or press inquiries:
- Email: angel.campa@camaudit.io
- LinkedIn: linkedin.com/in/angelcampa1/
- Partners: CAMAudit Partner Program