The autonomous back office is not a concept. It is a system that reads leases, processes invoices, reconciles accounts, and prepares closing packages with minimal human intervention. The human role is to review, approve, and decide — not to read, code, match, and assemble.
This guide explains how the autonomous back office works, what it does, and how Komod.ai implements it.
The Autonomous Back Office Defined
An autonomous back office is a system that:
- Reads source documents (leases, invoices, bank statements, emails)
- Interprets the content (extracts terms, classifies transactions, identifies obligations)
- Reconciles the data (matches bank activity to ledger, compares lease to actual)
- Calculates the results (CAM pools, pro-rata shares, escalations, true-ups)
- Stages the output (journal entries, invoices, reports, closing packages)
- Requires approval before anything posts to the ledger
The human controller is the approver, not the processor. The system does the work. The controller reviews the result.
The Six Modules
Module 1: Lease Intelligence
What it does: Reads commercial leases and extracts the financial terms as structured rules.
What it extracts:
- Base rent and payment schedule
- Escalation type, rate, dates, and base
- CAM inclusions, exclusions, and caps
- Tax and insurance recovery methods
- Pro-rata share and denominator
- Critical dates (renewals, expirations, options)
- Gross-up requirements
- Percentage rent provisions
The output: A structured rule set that drives all downstream processing.
Module 2: Invoice Processing
What it does: Reads vendor invoices and classifies them against the lease rules.
What it does:
- Identifies the vendor, service, and amount
- Codes the expense to the correct GL account
- Classifies as recoverable or non-recoverable
- Allocates to the correct pool (CAM, tax, insurance)
- Applies caps and exclusions
- Flags exceptions for review
The output: Coded, classified, and allocated expenses ready for posting.
Module 3: Bank Reconciliation
What it does:
- Matches transactions to ledger entries
- Identifies unmatched items
- Flags duplicates
- Validates allocations
- Produces the reconciliation summary
The output: A current reconciliation with documented exceptions.
Module 4: Recovery Engine
What it does: Calculates tenant recoveries using the lease rules and the actual expenses.
What it does:
- Updates CAM, tax, and insurance pools
- Applies caps and exclusions
- Calculates gross-ups
- Determines pro-rata shares
- Prepares true-up calculations
The output: Accurate recovery calculations with full documentation.
Module 5: Close Automation
What it does: Assembles the monthly closing package from the processed data.
What it does:
- Prepares the CAM/NNN reconciliation
- Assembles the exception log
- Generates the owner report
The output: A complete closing package ready for review and distribution.
Module 6: Exception Management
What it does: Identifies and tracks items that require human attention.
What it does:
- Flags variances exceeding thresholds
- Identifies missing data
- Tracks unresolved items
- Documents the resolution
- Maintains the audit trail
The output: A managed exception queue with documented resolutions.
The Human Role
The autonomous back office does not eliminate the controller. It eliminates the mechanical work that prevents the controller from doing their job.
The controller's role:
- Review and approve the closing package
- Resolve flagged exceptions
- Approve journal entries before posting
- Communicate with owners and tenants
- Make judgment calls on disputed items
- Manage the portfolio strategy
The system's role:
- Read and classify every document
- Match every transaction
- Calculate every recovery
- Apply every cap and exclusion
- Track every deadline
- Assemble every report
Conclusion
The autonomous back office is not a future concept. It is a current system that reads leases, processes invoices, reconciles accounts, and prepares closing packages with minimal human intervention.
The controller's role changes from processor to approver. The system does the work. The controller reviews the result. The portfolio scales without adding equivalent headcount.
Komod.ai is an AI-native operating layer for the commercial real estate back office. The platform reads leases, invoices, and bank activity; performs deterministic calculations; and stages completed work for human approval. Nothing posts without you.