What happens when a technically sound decision turns out to be operationally wrong? In lending implementations, it happens more often than most teams realize — and the cost doesn't show up until months later.

A recent article from Fundingo digs into a specific, eye-opening example: a configuration decision that mapped guarantor data to a primary contact field. Technically defensible. Functionally a disaster. The article unpacks why the distinction between technical competence and domain competence is critical for any lending organization evaluating a technology partner or building an implementation team.

Read the full article here: https://www.fundingo.com/the-real-cost-of-domain-gaps-in-lending-implementations/

Half of borrowers who start a loan application never finish it — not because they found a better rate somewhere else, but because the application itself pushed them out the door.

For community lenders and CDFIs doing critical work in underbanked markets, this is a silent and costly problem. Application abandonment is largely invisible — borrowers who drop off leave no trace in your pipeline reports, no decline codes, no complaints. Just silence.

In this episode, we explore the investment gap that has left loan application experiences far behind the rest of the lending stack, why borrower expectations have shifted permanently, and why the fix isn't more marketing spend — it's removing friction between intent and a completed application.

Read the full article: Why Borrowers Abandon Loan Applications Before Underwriting

Brought to you by Fundingo — Loan Management Software experts.

Everyone's focused on whether AI should be making lending decisions — but the more consequential question is what happens to how lenders learn once AI absorbs the entry-level analytical work that used to build their instincts.

This episode explores the hidden talent pipeline risk inside lending automation: how operational efficiency gains at the senior level can quietly hollow out the training mechanisms that develop great credit officers over time — and what the organizations getting it right are doing differently.

📖 Read the full article: https://www.fundingo.com/what-happens-to-junior-lenders-when-ai-does-their-training-work/

Most lenders are adopting AI one tool at a time — a document spreader here, a chatbot there. But isolated AI tools keep hitting the same wall: the departmental boundary. Lending is a chain of dependent events that must move together, and when agents can't coordinate across origination, underwriting, servicing, and borrower communication, the handoffs remain just as slow and error-prone as before.

In this episode, we break down why connected AI agents beat isolated point solutions — and why getting the data architecture and workflow foundation right is the critical precondition for any of it to work.

🔗 Read the full article on Fundingo.com

Most lenders today are adopting AI the same way — one point solution at a time. But isolated AI tools hit the same wall every time: the departmental boundary. In this episode, we break down why connected AI agents that coordinate across origination, underwriting, servicing, and borrower communication are the lenders' real competitive advantage — and why you cannot automate chaos without the right data foundation first.

Read the full article: Why Connected AI Agents Beat Isolated AI Tools in Lending — Fundingo

The lending industry has trained itself to treat data quality as the primary defense against operational failure. But clean data describes what's true — it doesn't govern what people are allowed to do with that information before an action becomes irreversible. That's a controls problem, and it's a fundamentally different one.

This episode breaks down why lenders in a growth phase are most exposed, where control failures tend to cluster (disbursement, access permissions, and system handoffs), and why no dashboard can substitute for operational guardrails built directly into the workflow.

📖 Read the full article: Why Clean Data Alone Can't Protect Lenders From Risk

Clean data is critical in lending — but it's not enough. There's a real difference between knowing what's true and controlling what people are allowed to do with that information. As lenders scale, the gap between data quality and operational controls quietly widens — creating serious exposure around disbursements, access permissions, and system handoffs.

Read the full article here: Why Clean Data Alone Can't Protect Lenders From Risk

Brought to you by Fundingo — Loan Management Software Experts.

When lenders start evaluating a new platform, they're not leading with feature checklists or API documentation — they're asking one fundamental question: can I trust this?

Three signals consistently rise to the top: peer references from counterparts who've lived through an implementation, support responsiveness that treats post-go-live care as a core product feature, and native architecture that unifies loan data, compliance, and automation in a single environment.

The full article goes deeper on all of it — including the real operational problems lenders are solving on the floor.

Read the full article: What Lenders Actually Look for When Switching Software

When lenders evaluate a new platform, they're not leading with feature checklists or API docs — they're asking one fundamental question: can I trust this?

From the power of real peer references, to why support responsiveness is the product itself, to why native cloud architecture is a strategic advantage — this episode breaks down the three signals lenders look for before committing to any software switch.

📖 Read the full article: What Lenders Actually Look for When Switching Software

Learn more at fundingo.com

If your lending team is closing 40 to 50 deals a month and wondering how to grow without adding headcount, this episode breaks down exactly where the bottlenecks are hiding — and how the right loan management platform eliminates them.

From automated document generation and embedded e-signature workflows to structured broker relationship tracking, the path to scaling isn't more people — it's removing the low-judgment tasks that consume your team's capacity.

📖 Read the full article: How Lean Lending Teams Can Close More Deals Without Adding Headcount