Automate Bank Reconciliation in Yardi and MRI
Bank reconciliation automation can help real estate accounting teams reduce manual matching, accelerate month end close, and produce more consistent audit documentation in Yardi and MRI.
Manual reconciliation becomes increasingly difficult as portfolios grow. Accounting teams must retrieve data, compare bank activity with General Ledger transactions, investigate exceptions, update reconciliations, download statements, and assemble supporting documentation across dozens or hundreds of accounts.
Automation transfers much of that repetitive work to a structured process, allowing accountants to focus on exceptions that require professional judgment.
Can Bank Reconciliation Be Automated in Yardi and MRI?
Yes. Bank reconciliation can be automated in Yardi and MRI using robotic process automation, secure data connections, and matching rules configured around the organization’s portfolio and accounting procedures.
A well-designed process can:
- Retrieve bank and accounting data
- Compare bank transactions with General Ledger activity
- Apply customized matching rules
- Update matched items in Yardi or MRI
- Flag unresolved transactions
- Retrieve and file bank statements
- Produce reconciliation reports for review
Automation does not eliminate oversight. Accounting teams still review exceptions, approve results, and address transactions that fall outside established matching rules.
Why Is Manual Bank Reconciliation Difficult at Portfolio Scale?
The challenge is not the accounting concept. It is the volume and repetition involved.
A property accounting team may perform the same sequence across every entity, property, and bank account. Data is often downloaded, transferred into spreadsheets, normalized, matched line by line, and then entered back into the property management system.
As account volume increases, manual workflows can contribute to delayed closes, reconciliation backlogs, inconsistent documentation, and limited capacity for analysis. Staff changes can create additional risk when procedures depend heavily on individual knowledge.
How Does Automated Bank Reconciliation Work?
REdirect’s bank reconciliation robot, Rosie, is configured around each organization’s Yardi or MRI environment, bank accounts, portfolio structure, and transaction patterns.
1. Retrieve Bank and Accounting Data
Rosie collects bank activity through an approved connection or standardized files. It also retrieves the corresponding General Ledger and transaction data from Yardi or MRI.
2. Apply Customized Matching Rules
The automation compares bank and system transactions using rules for amounts, dates, reference numbers, recurring activity, and other relevant criteria.
Simple and complex matches can be incorporated, including scenarios in which several transactions correspond with one bank entry.
3. Identify Exceptions
Transactions that do not satisfy the established matching criteria are placed in an exception report with supporting details. Accountants can then focus on the smaller group of items that requires investigation.
4. Update Yardi or MRI
Matched transactions are updated as reconciled in the system of record. The process retains transaction details and creates a consistent record of the automation’s activity.
5. Assemble Documentation
Rosie can retrieve bank statement PDFs, combine them with system reports, and save the completed reconciliation package to the organization’s designated file storage.
What Results Can Bank Reconciliation Automation Deliver?
Across REdirect’s live deployments, bank reconciliation automation has produced:
- Transaction matching rates ranging from 80 to 99 percent
- An average of more than 450 hours saved annually
- More than 900,000 bank transactions processed each year
Results depend on transaction complexity, data quality, bank access, system configuration, and the maturity of the matching rules. Automation is most effective when processes are standardized and exceptions are reviewed consistently.
Matching rules can also be refined as banking patterns, properties, and portfolio structures change.
Which Real Estate Organizations Benefit Most?
Bank reconciliation automation is particularly valuable for:
- Real estate owners and operators managing many bank accounts
- Property managers supporting owned and third party assets
- Accounting teams using Yardi or MRI across multiple entities
- Organizations carrying reconciliation backlogs into the next close
- Finance leaders seeking additional capacity without expanding repetitive work
The strongest opportunities are usually found where transaction volume is high, reconciliation procedures are repeatable, and accountants spend several days each month completing manual matches.
What Should Teams Consider Before Implementation?
Before automating bank reconciliation, review the current process, data sources, banking access, account structure, exception volume, and internal controls.
Implementation should include configuration, testing, user acceptance, and parallel validation before full deployment. Organizations should also define who reviews exceptions, approves completed reconciliations, and monitors changes to matching rules.
Automation improves consistency, but it does not replace sound accounting policies or professional review.
Move From Transaction Processing to Exception Review
Bank reconciliation is necessary. Requiring accountants to perform every match manually is not.
A properly configured automation allows the accounting team to work at the exception level instead of the transaction level. The result is greater capacity, more consistent documentation, and a close process that is less dependent on manual throughput.
Could bank reconciliation automation improve your Yardi or MRI close process? Contact REdirect to discuss your current workflow with our real estate accounting automation experts.
Frequently Asked Questions
Can bank reconciliation be automated in Yardi?
Yes. Bank reconciliation can be automated in Yardi by integrating bank activity with accounting data, applying customized matching rules, updating reconciled items, and generating exception reports. The configuration should reflect the organization’s Yardi environment and internal controls.
Can bank reconciliation be automated in MRI?
Yes. Automation can retrieve data, match transactions, update reconciliation activity, and prepare supporting documentation within an MRI accounting environment. The specific workflow depends on the MRI products, configuration, and data access available.
What is bank reconciliation automation in real estate?
Bank reconciliation automation uses technology to compare bank transactions with entries in a real estate accounting system, clear qualified matches, and flag discrepancies for human review. It replaces much of the repetitive matching and documentation work performed manually.
What is bank to book automation?
Bank to book automation compares transactions recorded by the bank with entries recorded in the General Ledger. Qualified matches are reconciled automatically, while differences are presented to the accounting team for investigation.
What is Rosie?
Rosie is REdirect’s bank reconciliation robot for real estate accounting teams using Yardi or MRI. It retrieves data, matches transactions, updates reconciled items, identifies exceptions, collects bank statements, and produces reconciliation documentation.
What happens to transactions that cannot be matched?
Unmatched transactions are included in a structured exception report with relevant bank and accounting details. Accountants review these items and determine whether they require correction, additional documentation, or manual reconciliation.
How long does bank reconciliation automation take to implement?
Timelines depend on portfolio size, bank connectivity, transaction complexity, data quality, and the existing Yardi or MRI configuration. A responsible implementation includes discovery, configuration, testing, parallel validation, and user acceptance before deployment.
Does bank reconciliation automation reduce audit risk?
Automation can strengthen audit readiness by applying matching rules consistently and producing structured documentation. It does not eliminate audit risk or the need for review, approval, access controls, and appropriate accounting policies.
