How MCM cut bank statement review time by 90% while empowering underwriters

TL;DR: MCM Holdings streamlined non-QM bank statement lending by replacing manual reconciliation and inconsistent indexing with decision-ready analytics. Using Ocrolus, underwriters cut bank statement review time by more than 90% and reduced time to close, while shifting focus from document cleanup to higher-value credit judgment.

When bank statements slow down mortgage underwriting

Bank statement lending is essential to non-QM growth, but it is also one of the most operationally demanding workflows in mortgage lending. Each loan can include months of statements across multiple accounts, all of which must be reviewed, reconciled and translated into lender-grade income calculations.

At MCM Holdings (MCM), a national mortgage lender headquartered in Miami, that work was consuming a disproportionate amount of underwriter time. Reviewing the bank statement portion of a single file can take four to five hours, with much of the time spent manually reconciling deposits and searching through inconsistently labeled documents.

The result was not just slower underwriting. It was cognitive overload. Highly trained underwriters were spending time on mechanical, manual tasks instead of focusing on credit judgment, exceptions and risk assessment.

Why manual bank statement review creates underwriting friction

MCM’s team was experienced and disciplined. The bottleneck came from how information entered the workflow:

This created downstream friction. Underwriters had to pause decisioning to hunt for documents, verify calculations or rework summaries that arrived late in the process.

This is where the difference between document processing and decision intelligence matters. Extracting data is not enough. Mortgage teams need standardized, auditable outputs that arrive early enough to guide decisions, not after conditions are issued.

Shifting underwriters from manual review to decision-ready analytics

MCM integrated Ocrolus directly into its Encompass® by ICE Mortgage Technology® workflow to address this challenge where it actually lived. Ocrolus is an AI-powered workflow and data analytics platform that transforms messy financial documents into regulatory-grade decision intelligence, combining purpose-built AI models with human-in-the-loop validation.

For MCM, that translated into three meaningful changes:

1. Bank statement analysis built for variability
   Ocrolus automatically analyzes deposits, balances, overdrafts and cash flow trends across inconsistent bank statement formats, delivering standardized income calculations in minutes instead of hours.
2. Consistent organization across every file
   Documents are classified and labeled uniformly, eliminating the “where is it in the file” problem that slows underwriting and introduces downstream risk.
3. More time for judgment, less time on mechanics
   By removing repetitive reconciliation work, underwriters were able to concentrate on exceptions, credit quality and decisioning rather than document cleanup.

As MCM’s operations leadership described it, the platform amplified underwriter effectiveness rather than replacing expertise.

You can read the full customer story here.

Reducing bank statement review time while improving underwriting quality

After implementing Ocrolus, MCM reduced bank statement review time by more than 90%, cutting review from roughly five hours to about 10 minutes per file.

That efficiency was reflected throughout the rest of the mortgage lifecycle. The average time from origination to closing decreased from approximately 35 days to 27 days, representing a 23% improvement. With less friction in underwriting, the team was able to support higher throughput while maintaining consistency and auditability.

MCM also reported 25% year-over-year loan volume growth, supported by a workflow that scaled decisioning capacity rather than stretching teams thinner.

The key takeaway is not speed for speed’s sake. It is alignment. When income analysis is standardized and surfaced early, underwriters can do what they do best: evaluate risk, apply judgment and move confident files forward.

Why this matters for non-QM lenders

In non-QM lending, competitive advantage increasingly comes down to operational clarity and a better borrower experience. Borrowers expect faster answers. Capital markets expect consistency. Underwriters need clean, reliable inputs to make defensible decisions.

Embedding decision intelligence directly into the LOS is how those needs converge. Encompass remains the system of record for many lenders, and integrating analytics into that environment is what allows improvements to compound across underwriting, closing and post-close.

Key takeaways

• Manual bank statement review creates friction that slows non-QM underwriting.
• Decision intelligence matters more than raw document extraction.
• MCM reduced bank statement review time by over 90%.
• Faster, standardized analysis helped cut time to close by 23%.
• The biggest impact was empowering underwriters to focus on decisioning and risk.