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Originally published on CUInsight.com
As the holiday season approaches and we look ahead to 2026, I’m hearing a lot of positive energy from credit union leaders. The lending landscape is evolving, and that evolution is opening doors. As interest rates come down, consumer demand is expected to pick up, and credit unions have the data and tools to respond with more precision and confidence than ever before.
While credit union loan balances are forecasted to rise only 4.5% by the end of the year, below the yearly average of 7%, projections show some momentum building into 2026 as members return to the market and liquidity pressures ease.
Many credit unions are using this moment to rethink how they want to lend—not reactively, but intentionally. And one theme is coming up repeatedly: Automated underwriting is becoming a pillar of that intentional lending strategy.
Why is automated underwriting important to your lending strategy now?
If it feels like automated decisioning has been discussed for years, you’re not imagining it. But the reason it’s at the top of your strategic planning agenda—more loudly and more consistently—is because the environment keeps pointing credit unions in the same direction. Three forces in particular are making automation not just attractive but strategically necessary:
- Competition has intensified and the macroeconomic environment continues to shift
Fintechs and megabanks have reshaped expectations by delivering instant decisions and consumers are gravitating toward lenders who can move at that pace. For credit unions still relying on manual underwriting, this creates a widening competitive gap.
At the same time, the macroeconomic environment continues to change. Interest rates, liquidity pressure, deposit mix changes, and fluctuations in delinquency all influence how you lend. In this financial landscape, credit unions need the ability to adjust quickly and confidently. That’s where a strong automated decision engine becomes essential.
Automated decision engines give credit unions the tools to respond to market conditions in real time—leveraging predictive data, tightening or relaxing criteria as needed, and targeting the most strategic segments based on risk appetite. These capabilities simply aren’t possible at scale with manual processes.
- The complexity of underwriting continues to increase
Ten years ago, credit unions could make most decisions with a credit score, DTI, LTV, and a few compensating factors. But to keep up with competitors and evolving borrower financial situations, institutions are incorporating:
- Deposit-level behavioral data
- Relationship depth
- Deposit migration patterns
- Non-traditional payment performance data
- Fraud triggers
That level of complexity is nearly impossible to operationalize consistently without automated rules. Automated decisioning doesn’t replace judgment; it supports it.
- Member expectations are rising faster than operational capacity
Members want loan decisions in minutes, not hours or days. Branches and call centers want fewer bottlenecks. Indirect channels expect rapid response times. Even the best-trained underwriting teams can’t outpace this growing demand, not without help.
These forces have made automated underwriting a recurring theme because the old model of manually scaling teams during busy cycles simply doesn’t work anymore.
How have leading credit unions automated their underwriting?
Across the industry, we’re seeing credit unions of all sizes embrace automated decisioning—each on their own path and timeline. What’s important to remember is that you don’t need to overhaul everything at once.
Here are the approaches we’re seeing work best for our customers:
Start with safe segments
Many credit unions begin with well-understood borrower groups: strong deposit relationships, clean credit patterns, predictable payment behavior.
This approach lets teams:
- Build confidence in the model
- Test, refine, and optimize criteria
- See early wins without taking unnecessary credit risk
Automating your decisioning does not mean higher delinquencies. When configured to your risk strategy, credit unions often see delinquencies stay flat, or even improve, because automated rules catch inconsistencies manual underwriting may miss.
Calibrate credit and liquidity strategy together
A growing number of institutions now use data-driven approaches to decide:
- Where they want to grow
- Where they need to pull back
- How to align credit policy with available funding
Liquidity sets the outer boundaries; automation helps you execute consistently within those boundaries.
Implement quarterly business reviews
The most successful credit unions treat automation as an ongoing discipline. Rather than “set it and forget it,” they:
- Review performance quarterly
- Analyze auto-approvals vs. manual approvals
- Evaluate declines and fraud triggers
- Adjust rules as they learn
This is where the biggest efficiency gains come from. Not from turning automation on and not looking at the impact for an extended period, but from continually improving it.
Improve your staff efficiency to improve your member experience
One of the benefits of automated underwriting is how it transforms the day-to-day experience for lending teams. When underwriters spend less time navigating screens and more time engaging with members, the entire lending experience shifts for the better.
Credit unions that have adopted automated decisioning consistently see:
- Consistently higher member satisfaction
- More time spent advising members, not processing paper
- Higher booking rates through faster approvals
- Fewer unnecessary auto-declines by using deeper relationship data instead of relying solely on credit scores and traditional credit data
This is where automation truly proves its value: not by removing the human element, but by amplifying it.
5 steps to get you started with automated underwriting
If you’re just starting to explore automated underwriting, here are some practical tips to get you started:
Step 1: Clarify your goals
Before touching technology, ask:
- What segments do we want to grow?
- How does liquidity shape our risk appetite?
- What does “success” look like? Higher automation, lower delinquency, faster turn-times, better member experience?
Every credit union’s path looks different, and your goals should drive your configuration, not the other way around.
Step 2: Evaluate your current lending guidelines
Over time, underwriting guidelines tend to accumulate layer upon layer of rules, many of which were added for good reasons in the moment but now create unnecessary friction. Automation and optimization efforts force clarity. It helps to surface what’s essential, what’s outdated, and what’s slowing decisions without improving risk outcomes.
When reviewing your guidelines, start by:
- Distinguishing the rules that are truly critical for risk management
- Identifying redundant, conflicting, or legacy rules that add complexity without improving outcomes
- Setting thresholds for credit rules based on your risk profile
- Evaluating and strengthening risk-based pricing so approvals align with your portfolio strategy
- Reviewing override patterns to understand which rules are routinely bypassed and whether they still make sense
- Determining which requirements can shift from underwriting rules to stipulations to accelerate decisioning without increasing risk
The core question behind all of this is: Which rules are helping us make smarter, faster decisions and which no longer reflect our strategy or risk appetite?
Step 3: Examine your workflow and systems
Where are the bottlenecks today?
Where do applications slow down?
Which steps can be decisioned automatically?
Even small workflow adjustments can lead to large gains.
Step 4: Dig Into the data
Look at historical decisions and outcomes. Compare manual vs. prospective automated approvals. Identify patterns.
This analysis builds the confidence your team needs to automate the next layer of decisions.
Step 5: Start with a pilot and scale from there
Take a safe segment, automate decisioning rules, monitor performance, evaluate, refine, and expand.
Automation is a journey, not a light switch.
Prepare your credit union for a stronger 2026
The institutions that modernize their decisioning now will be the ones positioned to grow as rates ease, liquidity stabilizes, and member demand accelerates.
But remember, you don’t need to transform everything at once. You just need to start.
If your credit union is exploring automated decisioning or if you’re unsure what the right path looks like, this recent panel we hosted with credit union leaders is a great place to start. They walk through best practices, common pitfalls, and the practical steps that helped them move forward with confidence.
Click here to take the first step and learn more about automated decisioning today.
