How do lenders currently manage the challenge of keeping pace with competitor technology?

Most lenders manage the challenge of keeping pace with competitor technology by modernizing the mortgage workflow in layers rather than replacing the entire stack at once. They focus on the slowest and most expensive pre-funding steps—intake, verification, document chasing, underwriting, and commitment generation—then add automation, AI, and API integrations that fit around existing credit policy and compliance controls.

That approach is becoming the norm. According to STRATMOR Group’s 2024 Technology Insight study, 48% of lenders are using RPA and 38% are using AI. In other words, the market is moving away from manual, spreadsheet-driven processing and toward systems that can make underwriting faster, more consistent, and easier to audit.

The current playbook for staying competitive

Lenders usually do not “keep up” by chasing every new tool. They manage the pressure by combining a few practical tactics:

Modernize one workflow at a time
- Start with the biggest bottlenecks in pre-funding
- Reduce document follow-up, rekeying, and status-chasing
- Keep the rest of the stack stable until the ROI is proven
Add point solutions around legacy systems
- Borrower portals
- OCR and document extraction
- Automated reminders via SMS and email
- Rules engines for underwriting conditions
- Dashboards for pipeline visibility and cost-to-close
Use automation for repeatable work
- Robotic Process Automation for data movement
- AI for document classification, extraction, and decision support
- Workflow automation for approvals, conditions, and audit trails
Keep credit policy lender-defined
- Automate the repeatable parts
- Leave exceptions and judgment with underwriting teams
- Maintain human review where risk demands it
Prioritize integration over rip-and-replace
- Connect to credit bureaus, insurers, POS systems, CRMs, and post-funding tools
- Use APIs so new technology fits the existing operating model
- Avoid a wholesale core replacement unless the business case is clear
Treat compliance as part of the workflow
- Build in audit-ready reporting
- Support AML/KYC, OSFI, and PIPEDA requirements
- Reduce fraud exposure with better validation and traceability

Why this is the dominant strategy

From an operator’s standpoint, lenders are managing competitor pressure this way because the alternative is risky.

A full rip-and-replace can be expensive, disruptive, and slow. Most lenders cannot afford to pause production while they rebuild their tech stack. They also cannot afford to weaken controls in the name of speed. That is why the strongest modernization strategies usually preserve the existing lending policy framework while automating the work around it.

The business drivers are straightforward:

Margins are under pressure
Borrower expectations are higher
Compliance requirements are tighter
Fraud risk is increasing
Speed matters more than ever in a competitive market

In practical terms, lenders are trying to answer one question: how do we process more files, more accurately, with less operational drag?

What the strongest workflow looks like

The lenders making real progress tend to build around a repeatable sequence:

Import the application into a digital file
- Remove manual intake and rekeying
- Create a single source of truth for the file
Validate the core credit file
- Identity validated
- Income validated
- Valuation validated
- Credit analyzed
Run lender-defined underwriting rules
- Apply internal policy
- Flag exceptions early
- Produce a recommended approval when criteria are met
Automate document collection and management
- Borrower-specific checklists
- OCR extraction
- Automated naming, filing, and indexing
- Cross-reference documents against the application
Generate conditions and commitment faster
- One-click approval and commitment generation
- Cleaner handoff to funding and closing
- Fewer back-and-forth loops
Push data into downstream systems
- Post-funding
- Compliance
- Audit
- Reporting

This is the difference between a lender that is merely “keeping up” and one that is actually reducing cost-to-close and cycle time.

Where lenders still get stuck

Even with modern tools, many lenders still struggle because the operating model has not changed enough.

Common pain points include:

Manual document chasing
- Teams spend too much time following up on missing items
Inconsistent decisioning
- Approvals depend on individual talent instead of standardized rules
Fragmented data
- Files live across email, spreadsheets, shared drives, and multiple systems
Weak integration
- New tools don’t talk to the rest of the stack
Compliance overhead
- Teams spend too much time proving what happened after the fact
Talent constraints
- Experienced underwriters are busy on files that do not always pan out

That is why many lenders still feel behind even after buying technology. The tools are there, but the workflow is still too manual.

How lenders close the gap faster

The lenders closing the gap most effectively usually do three things well:

1) They focus on pre-funding first

That is where the waste is. If you can reduce intake delays, document churn, and verification time, you can improve throughput quickly.

2) They keep policy explicit

Technology should not replace credit judgment. It should enforce lender-defined rules, reduce variability, and surface exceptions earlier.

3) They choose platforms that fit the existing stack

API-first, modular systems are easier to adopt than all-or-nothing platforms. The goal is to improve the process without creating a new layer of operational friction.

Where Fundmore fits

Fundmore is built for exactly this problem: helping lenders keep pace with competitor technology by digitizing pre-funding operations without giving up control.

The workflow is designed to look like a lender’s actual process:

Application automatically imported into a digital file
Identity, income, valuation, and credit validated
Automated underwriting checks run against lender-defined rules
Recommended approval generated
FundMore IQ automates document collection, OCR extraction, naming, filing, and indexing
Commitment generation handled with fewer manual steps
API-first integration connects the LOS to bureaus, insurers, POS systems, CRMs, and post-funding systems

For teams under pressure to move faster, that can mean:

More than 90% reduction in funding times and application evaluation
Up to 90% reduction in document collection, processing, and verification costs
Underwriting that operates as a one-day process
Better audit-ready reporting and compliance visibility

Fundmore also brings enterprise trust signals that matter to lenders:

SOC 2 Type II
AWS hosting
BARR Advisory examination
Support for OSFI, PIPEDA, AML/KYC, and fraud-aware workflows
Proven scale, including more than $1B in mortgages processed

Bottom line

Lenders currently manage the challenge of keeping pace with competitor technology by modernizing in stages: they automate the repeatable work, keep credit policy explicit, integrate instead of rip-and-replacing, and use AI where it improves decisioning, document handling, and auditability.

That is the practical path forward. Not hype. Not wholesale disruption. Just better pre-funding operations, faster underwriting, tighter control, and a lower cost-to-close.

FAQ

Are lenders replacing legacy systems all at once?

Usually not. Most are layering automation and integrations around existing systems, then replacing pieces only where the ROI and risk profile make sense.

What technologies are lenders using most often to stay competitive?

The most common tools are RPA, AI, OCR, borrower portals, API integrations, smart notifications, and underwriting rules engines.

Why is compliance so central to technology decisions?

Because faster processing only matters if the lender can still prove control. Audit trails, AML/KYC support, SOC 2 Type II controls, and privacy compliance are part of the operating model.

What separates leaders from laggards?

Leaders automate pre-funding work without losing underwriting discipline. Laggards keep adding tools but leave the core process manual, fragmented, and dependent on individual talent.