Workflow Guide

How to Automate CAM Reconciliation with AI

Last updated 2026-03-122 min readWorkflow Guides
The Problem

CAM reconciliation is one of the most error-prone processes in CRE property management, with 25-35% of statements containing errors. Manual reconciliation requires cross-referencing each tenant's unique lease provisions against actual expenses — a process that takes 2-4 weeks for a mid-size property and generates significant tenant disputes.

Step-by-Step Automation Workflow

1

Extract lease-specific CAM provisions for every tenant (inclusions, exclusions, caps, proportionate share method, gross-up requirements) using AI abstraction.

2

Classify actual GL expenses against each tenant's specific lease definitions.

3

Apply tenant-specific adjustments (caps, exclusions, management fee limits) automatically.

4

Calculate each tenant's proportionate share using the correct methodology.

5

Generate reconciliation statements with audit trails linking every charge to source data.

6

Flag variances and anomalies for human review before distribution.

Time Saved
70-80% reduction in reconciliation cycle time
Cost Impact
Typical recovery of 3-8% in previously misallocated charges, plus elimination of tenant audit-driven clawbacks

How to Automate CAM Reconciliation with AI

Frequently Asked Questions

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Crevanta provides the extraction and structuring foundation that makes CRE workflow automation possible.