Your Properties Are Probably Overbilling or Underbilling CAM — And You Won't Hear About It Until It's Too Late

As an asset manager, you're accountable for NOI across an entire portfolio. But the lease data your property managers are billing from? You probably haven't seen it.

A few months after year-end, an email arrives — not to you, but to the property manager at one of your assets. A national tenant has questions about their CAM reconciliation. The numbers don't match last year. A cap looks wrong. A charge seems out of place.

The property manager pulls up the CAM model. Accounting pulls up their version. Someone searches through a shared drive for the lease. No one is immediately sure who's right — only that this conversation is happening after the statements went out, and that you're going to hear about it eventually.

By then, the question isn't just whether one CAM statement was wrong. It's whether the same error is running across every property in your portfolio — quietly, consistently, with nobody flagging it.

The Asset Manager's Blind Spot

Asset managers are accountable for portfolio NOI. They review asset-level financials, track recovery ratios, and answer to investors when performance drifts. But the lease data that drives CAM billing — the caps, the exclusion lists, the proportionate share formulas, the amendment carve-outs — lives at the property level. In the property manager's files. In their CAM model. In their interpretation of a lease they may have abstracted years ago, or not at all.

That gap — between portfolio-level accountability and property-level lease data — is where CAM errors live. And they compound in both directions.

A Familiar Story

Consider a retail portfolio acquired mid-year. The leases arrive as thick binders and PDFs — original agreements, amendments, side letters spanning years of negotiation. CAM caps vary by tenant and by asset. Some expenses are excluded. Others gross up differently depending on occupancy at each property.

During onboarding, the most critical terms are abstracted. The rest gets filed away for later. Each property manager builds their CAM model from what's readily available. Across the portfolio, the numbers look right. They balance. The statements go out on schedule.

But buried in a third amendment at Asset C is a cap change tied to a specific expense category. A tenant at Asset A has a carve-out that only activates after a certain date. One amendment at Asset F was never reflected in the model at all. Each property, viewed in isolation, looks fine. At the portfolio level, the errors are invisible — stacked quietly across assets, across tenants, across years.

"Each property, viewed in isolation, looks fine. At the portfolio level, the errors are invisible — stacked quietly across assets, across tenants, across years."

The Real Risk Isn't the Dispute — It's the Silence

Overbilling gets attention. Sophisticated tenants — national retailers, institutional operators — push back. Audits happen. You find out, usually at the worst time: during a renewal negotiation, or mid-acquisition when a buyer's team pulls the leases.

Underbilling doesn't. It sits quietly — eroding NOI one missed recovery line at a time, across every property where the CAM model wasn't built from accurate lease data. No alerts. No red flags. No tenant email. Just revenue that never materializes, and a portfolio that's performing below what the leases actually entitle you to collect.

Most asset managers will never know how much CAM recovery their portfolio left on the table — because there's no moment where something visibly breaks. The math worked. The data didn't.

CAM Errors Don't Start in Property Management

Property managers aren't making careless mistakes. They're billing from the data they have — and the data they have was never structured to begin with. Spreadsheets rely on interpretation. Interpretation relies on whoever abstracted the lease, whenever they did it, based on whatever version they could find. That logic gets baked into the CAM model and inherited by every calculation downstream.

As an asset manager, you can review the output — the recovery ratios, the variance reports, the reconciliation summaries. But if the lease data feeding those outputs was wrong to begin with, the review doesn't catch it. The error is already upstream, invisible from where you sit.

"You can review the output. But if the lease data feeding it was wrong to begin with, the review doesn't catch it. The error is already upstream."

False Confidence at the Portfolio Level

Most CAM errors aren't dramatic. They're subtle — a management fee billed slightly above the capped percentage, an excluded expense category passed through because nobody checked the exclusion list, a proportionate share calculated on a floor area that didn't account for a minimum defined in the lease. Each one is small. Across 15 properties and 80 tenants, they aren't.

And because the process looks controlled — statements go out, tenants mostly pay, recovery ratios look reasonable — the portfolio appears to be operating correctly. Until an acquisition due diligence team pulls the leases. Until a tenant's counsel sends a letter. Until someone builds a model from the actual lease terms and compares it to five years of CAM statements. That number changes the asset's story. Sometimes it changes multiple assets' stories at once.

What Asset Managers Actually Need From Lease Data

Property managers need lease data to bill. Asset managers need lease data to govern — to verify that billing is happening correctly across every property, to identify where recovery is being left on the table, and to walk into an investor call, a disposition, or a dispute with a defensible answer.

That requires a different standard of abstraction. Not a summary of what the lease says — a structured record of every clause that touches CAM, captured with enough precision that it can be verified, cross-referenced, and cited. The management fee cap and its eligible charge base. The proportionate share formula, not just the percentage. The full exclusion list, not a paraphrase. The annual statement deadline the landlord is obligated to meet — and what happens at each property if it's missed.

It also means knowing, explicitly, when the lease is silent. When a provision isn't addressed in the agreement, a complete abstract says so — "The agreement is silent" — rather than leaving a blank field that looks the same as a missed clause. Silence has legal consequences. At the portfolio level, knowing which properties have gaps in their lease terms is itself a governance input.

Where Portfolio CAM Exposure Hides

These are the six places where incomplete lease abstraction most consistently creates CAM exposure — and what a complete record looks like for each, at the property and portfolio level.

Where Bryckel Comes In

Bryckel was built for asset managers who need more than a summary of what the lease says — they need a structured, searchable source of truth that works across every property in their portfolio, not just the one where something went wrong.

By transforming lease documents into citation-level structured data, Bryckel gives asset management teams a single view of CAM logic across the portfolio — so they can verify that property managers are billing correctly, surface caps and exclusions before reconciliation statements go out, and walk into any investor conversation, audit, or disposition with the lease data to back up every number.

CAM errors aren't inevitable. They're the result of a data problem that looks like an operations problem — until someone adds up what it's cost across the portfolio over five years.

Final Thought

If your CAM reconciliations depend on what each property manager has in their model, your portfolio-level numbers are only as accurate as the least complete lease abstract in your portfolio. Overbillings eventually surface. Underbillings never do.

The most expensive CAM mistake is the one that never gets caught.