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.