How MRI Software Users Can Reconcile at Scale With Automation

On March 26, 2026, REdirect Consulting partnered with MRI Software for a practical discussion about automated bank reconciliation and its role in a more scalable month-end close. The webinar, Reconcile at Scale: How MRI + REdirect Automate Bank Rec, examined the operational realities behind reconciliation automation, including fragmented bank data, complex transaction relationships, exception management, system security, and accounting oversight.

The session also featured a demonstration of Rosie, REdirect’s bank reconciliation robot. Rather than positioning automation as a replacement for accountants, the presenters showed how it can assume the repetitive matching work while leaving review, exception resolution, and final control with the finance team.

Here are the most important takeaways for real estate accounting teams using MRI.

Why does bank reconciliation remain a month-end bottleneck?

Bank reconciliation is mandatory, repetitive, and often disproportionately time-consuming. The challenge becomes more pronounced for real estate organizations managing numerous properties, entities, bank accounts, payment platforms, and transaction types.

The underlying problem is not simply transaction volume. It is fragmentation.

Accounting teams may need to compare information from:

• Multiple financial institutions
• MRI and related property accounting systems
• Treasury management platforms
• Third-party accounts payable systems
• Payment processors
• Receipt batches and other supplemental data sources

When those systems organize transactions differently, accountants must bridge the gaps manually. A single bank deposit, for example, may correspond to several tenant receipts in MRI. Conversely, several bank transactions may roll into one batch recorded in the accounting system.

That complexity is difficult to resolve with basic one-to-one matching.

During the webinar, MRI’s solutions architect drew on more than 15 years of prior client-side experience and nine years at MRI. His observation was straightforward: bank reconciliation has consistently been one of the most tedious parts of month-end, regardless of whether an organization manages many bank accounts or one account with extremely high volume.

What did the MRI and REdirect webinar demonstrate?

The demonstration followed Rosie through an end-to-end bank reconciliation workflow:

1. Retrieve transaction data from the bank or another approved source.
2. Log in to MRI using a dedicated account with limited permissions.
3. Open bank reconciliations for the appropriate period.
4. Retrieve the required MRI transaction data.
5. Apply a sequence of customized matching rules.
6. Update qualified matches in MRI.
7. Deliver account-level and transaction-level results.
8. Present unmatched items to the accounting team for review.

From the user’s perspective, Rosie appears much like another authorized MRI user navigating the system. The difference is that every approved step is programmed, allowing the next action to begin as soon as the preceding action is complete.

Rosie operates through a separate account, so the automation does not take over an employee’s screen. Accounting staff can continue working in MRI while the reconciliation runs in parallel.

The seven most important takeaways for MRI accounting teams

1. Effective automation must accommodate the existing data environment

Real estate organizations rarely receive banking data through one standardized channel. During the webinar, REdirect explained that Rosie can be configured to retrieve information through several methods, including:

• Read-only access to a bank portal
• Treasury management systems
• Secure file transfer protocol
• SharePoint file locations
• Back-end system connections
• Other workflows that mirror authorized user actions

This flexibility matters because a reconciliation solution that requires every bank to deliver the same file structure may shift work rather than eliminate it.

The better evaluation question is not simply, “Can this tool connect to our primary bank?” Finance and technology leaders should ask whether it can accommodate the complete ecosystem of banks, file formats, payment platforms, and supplemental records involved in their reconciliations.

2. Advanced matching extends beyond equal amounts

Simple automation can compare two transactions with the same amount. Real-world reconciliation often requires more context.

The webinar demonstrated several levels of matching:

• Check matching: Compares the account, amount, check number, and reference number.
• Recurring transaction matching: Identifies repeated items and aligns them on a first-in, first-out basis.
• One-to-one matching: Connects a single bank item with a single MRI transaction.
• Bundled matching: Resolves one-to-many or many-to-one relationships across the bank, MRI, and external data sources.

Bundled matching is particularly important for complex property accounting environments. A third-party AP platform might produce one bank withdrawal representing several payments in MRI. A receipt batch may create the opposite scenario, with several bank transactions corresponding to one MRI total.

The webinar showed how supplemental transaction-level data can provide the bridge between those records. This is where a purpose-built reconciliation workflow becomes materially more valuable than a simple amount-matching utility.

3. Exception management is more valuable than opaque automation

A credible reconciliation system should not force a match when the evidence is insufficient.

After applying its approved matching rules, Rosie identifies transactions that remain unmatched from both perspectives:

• Bank items without a corresponding MRI transaction
• MRI transactions without a corresponding bank item

These exceptions are delivered in a detailed report for investigation. This allows accountants to focus on transactions requiring professional judgment, such as unidentified ACH receipts, missing entries, duplicate payments, timing differences, or improperly recorded activity.

The operational shift is significant. Instead of reviewing every transaction, accountants review a more focused exception queue.

That does not eliminate reconciliation work. It concentrates human effort where it creates the most value.

4. Human oversight remains part of the control model

One of the clearest webinar takeaways was that automation should not remove accounting control.

Rosie handles programmed procedures and updates qualified matches, but the client’s accounting team still:

• Reviews the completed bank reconciliations
• Investigates unmatched transactions
• Resolves unusual or ambiguous activity
• Confirms that results meet company standards
• Completes and commits the reconciliation

Users also control when the automation runs and when information is written back to MRI.

This human-in-the-loop design is important for governance. The Federal Reserve’s internal-control guidance describes internal control as a process supporting effective operations, reliable financial reporting, asset protection, and compliance. Automation should operate within that framework rather than bypass it.

Dedicated access also matters. In the demonstration, Rosie used an individual MRI account with only the permissions necessary for the process. The workflow can support Okta one-time passcodes, and bank access can be limited to read-only reporting functions.

5. Reconciliation frequency becomes a strategic decision

Manual workloads often force accounting teams into monthly reconciliation even when more frequent review would be useful.

REdirect explained that the automated process can be configured to run:

• Monthly
• Twice monthly
• Weekly
• Daily

The right cadence depends on transaction volume, staffing, risk exposure, close requirements, and exception-resolution capacity. More frequent reconciliation can surface discrepancies earlier, but it should not be adopted without a clear operating model for reviewing and resolving exceptions.

The goal is not to run automation as frequently as technically possible. It is to choose a cadence that improves financial visibility without weakening review discipline.

6. The value extends beyond labor savings

Time savings are often the initial business case for automated bank reconciliation, but the broader benefits can be more consequential.

A well-governed process can help teams:

• Shorten the month-end close
• Reduce repetitive data entry
• Limit errors associated with manual transcription
• Identify unusual or unmatched activity sooner
• Improve transaction-level visibility
• Support growth without increasing reconciliation effort at the same rate
• Redirect accounting expertise toward analysis and exception resolution

Payment risk adds urgency. The Association for Financial Professionals reported that 79% of organizations experienced attempted or actual payment fraud in 2024. Reconciliation is not a complete fraud-prevention program, but timely identification of unexplained transactions can strengthen the broader control environment.

The distinction matters: automation should not be marketed as fraud prevention by itself. It is one component of a layered process involving access controls, segregation of duties, payment authorization, bank security tools, monitoring, and human review.

7. Reconciliation automation is an ongoing operating service

A matching workflow cannot be treated as permanently finished on implementation day.

Bank accounts change. Transaction patterns evolve. New payment platforms enter the process. Properties and entities are added or removed. A rule that produces reliable results today may need to be refined as the operating environment changes.

REdirect described its approach as an ongoing service rather than a one-time technology deployment. Its team monitors scheduled processes, responds to issues, adjusts matching logic, and updates account scope over time.

That support model is an important evaluation criterion. Buyers should assess not only what a solution can match during a demonstration, but also who will monitor it, maintain its logic, investigate failures, and adapt it as the portfolio changes.

What results has REdirect observed?

During the webinar, REdirect shared examples from its client work:

• Some clients moved from reconciling accounts throughout the month to completing bank reconciliations in a day.
• Supported volumes ranged from fewer than 1,000 to more than 30,000 monthly transactions.
• Some implementations achieved automated matching rates of up to 96%.
• Results could be returned in hours rather than days.

These figures should be understood as webinar-reported client outcomes, not universal guarantees. Actual performance depends on data quality, transaction complexity, source-system access, bank formats, account volume, and the maturity of the configured matching rules.

A high match rate is also not the only measure of success. Teams should evaluate whether matches are accurate, explainable, appropriately authorized, and supported by a usable audit trail.

How should finance leaders evaluate MRI bank reconciliation automation?

A structured evaluation should cover more than speed.

Data access and compatibility

Determine how the solution retrieves information from each bank, MRI, treasury platforms, payment processors, and other relevant systems.

Matching sophistication

Test the workflow against actual recurring, bundled, one-to-many, and many-to-one scenarios. A carefully selected sample of difficult transactions is more revealing than a demonstration built around clean one-to-one matches.

Exception handling

Review what users receive when the system cannot establish a qualified match. Exceptions should be clear, actionable, and supported by relevant transaction data.

Security and permissions

Confirm whether the automation uses unique credentials, least-privilege access, multifactor authentication, and appropriate separation between bank retrieval and MRI updates.

Accounting control

Document who initiates the process, reviews exceptions, approves results, and commits each reconciliation. Automation should reinforce this responsibility structure.

Reporting and auditability

Evaluate transaction-level reporting, timestamps, process notifications, retained documentation, and the ability to explain why items were matched.

Ongoing ownership

Establish who monitors scheduled runs, maintains matching rules, responds to changes, and supports the process during the close.

Why does the MRI and REdirect partnership matter?

Technology familiarity is especially important when automation acts directly within a core accounting environment.

During the webinar, MRI described REdirect as a longstanding consulting partner with deep knowledge of the MRI ecosystem and its clients’ operating challenges. Several REdirect team members previously worked at MRI, creating practical continuity between software knowledge, implementation experience, and ongoing consulting support.

The result is a joint solution model rather than a disconnected third-party tool. MRI clients can begin through their account manager, while REdirect provides the automation expertise, configuration, monitoring, and ongoing refinement associated with Rosie.

For finance leaders, that alignment can reduce the operational gaps that emerge when a software vendor, implementation consultant, and automation provider work independently.

See MRI bank reconciliation automation in action

Want to see how automated matching, bundled transactions, and exception reporting work inside MRI?

Watch the MRI + REdirect webinar for the complete Rosie demonstration and a closer look at the workflow.

If your team is spending days reconciling transactions across multiple properties, bank accounts, or payment systems, connect with REdirect. We can help you evaluate your current process, identify practical automation opportunities, and determine whether Rosie fits your MRI environment.

Frequently Asked Questions

Can bank reconciliation be automated in MRI Software?

Yes. A configured automation can retrieve banking and MRI transaction data, apply approved matching rules, update qualified items in MRI, and report exceptions. Accountants retain responsibility for reviewing unmatched activity and completing the reconciliation.

How does Rosie automate MRI bank reconciliation?

Rosie retrieves bank data, accesses MRI through a dedicated account, opens the relevant reconciliations, extracts transaction data, applies layered matching procedures, updates matched items, and sends detailed results to the accounting team.

Can automated reconciliation handle bundled transactions?

Yes, provided the workflow is configured with appropriate data and matching logic. Rosie can support one-to-many and many-to-one scenarios, including AP payment groups and receipt batches, by incorporating transaction-level data from MRI or supplemental systems.

Does automated bank reconciliation eliminate human review?

No. The workflow demonstrated by MRI and REdirect keeps people in the control process. Accounting teams review exceptions, verify the completed reconciliation, resolve remaining items, and retain authority over final completion.

How often can MRI bank reconciliation automation run?

The workflow can be configured for monthly, twice-monthly, weekly, or daily operation. The appropriate frequency depends on transaction volume, close requirements, risk exposure, and the team’s ability to review exceptions promptly.

What determines an automated bank reconciliation match rate?

Match rates depend on transaction consistency, data quality, source-system access, account complexity, supplemental data availability, and the maturity of the matching rules. REdirect reported results of up to 96% during the webinar, but outcomes vary by client.