Underwriting is often the first part of a lending operation to slow down as volume grows. Deals sit in a queue, and faster funders win the merchant. Different underwriters apply the credit policy differently, so decisions begin to depend on who reviews the file and how busy they are. And the only way to process more applications is to hire more people.
Automated underwriting software helps solve those problems by running every deal through the same credit rules before an underwriter opens the file. It can approve clear deals, decline deals that fall outside policy, and send exceptions to the right person for review. That gives your team faster decisions, more consistent credit standards, and more capacity without sending every application through the same manual process.
This guide explains how automated underwriting works for merchant cash advance funders and commercial lenders.
Automated underwriting software takes a new loan or advance application, pulls together the data, runs it through your credit rules, and returns a decision before an underwriter reviews the file by hand.
That decision may be approve, decline, or refer for manual review. The software can also handle the work around the decision, including bringing in the submission, organizing the data, and moving an approved deal toward an offer. You will usually find it in one of two forms.
Built into a full lending platform
The underwriting engine sits inside the same system as origination, servicing, and reporting. Once a deal is approved, it moves directly into the next step without your team transferring the data or rebuilding the file. Onyx IQ works this way, with automated underwriting built into the full lending platform.
A standalone decisioning tool
The underwriting engine connects to your existing origination system and returns a decision. Provenir and GDS Link are examples of this type of product. Your team then moves that result into the next system, either through an integration or by hand.
The main difference is what happens after the decision. When underwriting is built into the lending platform, the deal can move forward immediately. When it is added as a separate tool, there may be more integrations, handoffs, and manual steps to manage. In both cases, the credit decision is driven by the same core tool: the scorecard.
Automated underwriting runs every deal through the same four steps before an underwriter opens the file.
Intake
The application and supporting documents enter the platform. The system reads the application and bank statements, extracts the information, and builds the file without a manual re-entry step.
Data collection
The platform pulls the information needed to make a decision, such as:
By the time the file reaches underwriting, the information should already be organized and ready to review.
Decision
The system runs the deal through your credit rules and sends it to one of three outcomes:
Clear deals move forward immediately. Your underwriters spend their time on exceptions and files that actually need judgment.
Offer
For approved deals, a strong platform can also calculate pricing and generate the offer. The analyst does not have to rebuild the decision by hand before sending terms.
The scorecard is what makes the decision possible.
A business credit scorecard is the set of rules the system uses to evaluate every application.
It holds your credit policy and applies it the same way to every deal. Common rules include:
The scorecard checks the deal against all of these rules and returns a result. Intake, data connections, and offer generation happen around it, but the scorecard is where your credit policy actually runs. That makes one question especially important when you compare platforms: can your credit team change those rules themselves?
That depends on the platform. Some systems require code or a vendor support request every time you change a threshold, rule, or weighting. Others, including Onyx IQ, give the credit team a no-code interface where they can make those changes directly.
With a code-based scorecard, a policy change waits on an engineer, a support ticket, or a new release. With a no-code scorecard, your head of credit can change the rule in the platform and apply it to the next submission.
That matters because credit policy changes regularly. When the system cannot keep up, your team continues making decisions under the old rules. You may approve deals the new policy would decline, or reject deals the new policy would approve.
Manual underwriting also creates inconsistency. Two underwriters can read the same policy differently, especially when volume is high. A no-code scorecard gives every deal the same treatment. New rules take effect when the credit team decides they should, and every underwriter works from the same standard. That is how lenders increase volume without letting credit decisions drift.
No. It changes which deals they spend time on.
The scorecard handles clear approvals and declines. Your underwriters focus on the exceptions: stacked files, borderline cash flow, unusual industries, and other cases that require judgment.
A strong platform also prepares the file before it reaches them. The application, bank data, credit results, and supporting documents are already organized, so the underwriter can start reviewing the deal immediately instead of spending the first fifteen minutes building it.
When senior underwriters spend hours confirming obvious declines and clean approvals, you are using expensive experience for routine work. Automating those decisions gives them more time for difficult files, helping the same team fund more deals without lowering credit quality.
Every vendor will say its platform automates underwriting. These seven questions show you how much work it actually removes.
Can your credit team change rules themselves?
Ask the vendor to change the minimum FICO score during the demo. Your head of credit should be able to make the change directly. A vendor request, support ticket, or engineering release means every policy update will have to wait.
Can it approve, decline, and refer?
The scorecard should support three outcomes: auto-approve, auto-decline, and refer for manual review. A system limited to approvals and declines forces uncertain files into decisions that may be too aggressive or too conservative.
Does an approval turn into an offer?
Ask the vendor to auto-approve a sample deal and show you what happens next. The platform should calculate pricing, create the offer, and send it to the borrower or ISO. When an analyst still has to build the offer, a large part of the process remains manual.
Does the platform collect the data itself?
Credit reports, bank verification, statement data, and identity checks should flow directly into the scorecard. Any downloading, uploading, copying, or re-entering between systems adds back the delays and mistakes you are trying to remove.
Can you see which rules made each decision?
Ask to open a decided deal and show the exact scorecard version used. You should be able to see which rules ran, what the results were, and why the deal reached its outcome. That record matters when a capital partner or auditor asks about a decision months later.
Can the platform explain every approval and decline?
Give the vendor a sample deal and ask for the specific reasons behind the decision. The answer should point to clear criteria, such as the FICO score, deposit volume, time in business, or NSF count. Your team needs to understand and defend every result.
What happens after the decision?
Count the manual steps between the scorecard result and the next action. An approval should move directly into pricing and an offer. A decline should trigger the correct notice and close the workflow. A referral should enter the right underwriter’s queue with a complete file.
Onyx IQ handles all seven inside the full lending platform, so intake, data collection, decisioning, offers, and manual review stay in one workflow. Here is how that process runs from beginning to end.
Onyx IQ runs the full underwriting workflow inside the lending platform, from the moment a submission arrives to the moment an offer goes out. The no-code scorecard makes the decision, while intake, data collection, manual review, and offer generation all happen around it on the same deal record.
Applications arrive through two-way email or the ISO portal with the supporting documents attached. Onyx IQ reads the credit application and bank statements, extracts the information, and fills the deal record automatically. Your submissions team does not have to copy the file from an inbox into the platform by hand.
Before the deal enters the underwriting queue, Onyx IQ pulls the data your team needs through its pre-built integrations:
All of it stays on the deal record, so underwriters do not have to switch between systems, download reports, or enter the results manually.
The scorecard holds your credit policy and applies it to every submission. Your head of credit can build and change the rules directly in Onyx IQ using the same factors your team already reviews, including:
Here is how the scorecard is set up.
Create the rule sets
Group related criteria into rule sets. A FICO rule set can give a higher score to a 700 than a 620. A time-in-business rule set can score a five-year company higher than a one-year company.
Decide how much each rule matters
Set the weight of each rule set in the final score. A lender that cares more about credit than business age might give FICO a weight of 80 and time in business a weight of 20.
Connect each score range to an action
Choose what the platform should do with each score band. A high score can approve the deal and generate terms. A score below your minimum can decline it. Scores in the middle can go to manual review or receive a pricing adjustment.
Turn the scorecard on
Once the rules are saved, every new application runs through them automatically. The rules run in the order you set, and any deal that does not match a defined outcome goes to an underwriter, so it never disappears between rules.
Once the scorecard finishes, Onyx IQ takes the next action automatically based on the result.
Auto-approve
On an approval, Onyx IQ generates the offer, factor rate, RTR balance, and terms. It sends the offer to the ISO with the default stipulations already attached, such as a driver’s license, voided check, and merchant agreement. You can include up to six approval options in one notification, and no analyst has to build or send the offer by hand.
Auto-decline
When a deal fails a hard rule, Onyx IQ declines it automatically and sends the ISO an immediate explanation. The file never reaches an underwriter, so clear declines leave the queue before they take up your team’s time.
Refer to manual review
Borderline deals go to the underwriting queue with a referral flag and the full file already assembled. The underwriter sees the issue the scorecard flagged and can start reviewing it immediately, rather than spending the first part of the review collecting data and building the file.
You control how much gets automated
The scorecard can run automatically as soon as a submission arrives, or your team can run it manually on any file already in underwriting. You can start with manual scoring, compare the results with real portfolio outcomes, adjust the rules, and turn on full automation once your team is comfortable with the decisions.
Your credit team can change rules without waiting
Your head of credit can update a threshold, weighting, or rule directly in Onyx IQ. The change applies to the next submission without a support ticket, developer, or release cycle. Onyx IQ also keeps every previous version of the scorecard, and each approval, decline, and referral is logged with the exact rule set that produced it. When a capital partner asks how a deal was decided months later, your team can open the record and show the answer instead of reconstructing the policy from memory.
The scorecard runs in the same system that receives, funds, services, and reports on the deal. That means an approval can immediately create the offer and notify the ISO, and the same data then moves into funding and servicing without being entered again. A standalone decision engine may automate the decision while leaving the handoffs around it manual. Onyx IQ automates the workflow around the decision as well.
The scorecard and rules engine took two and a half years to build, because the difficult part goes beyond writing credit rules. The rules also have to run in real time, stay versioned, and be applied consistently to every deal as volume grows.
“We’re handling more volume with the same team, funding more deals, and cutting underwriting time by roughly 30%. Everything now runs in one system instead of spreadsheets, and deals move without stalling.”
Caleigh Toye, Liquify Funding
Many platforms can automate a credit decision. Onyx IQ stands out because it applies that automation to the way MCA and commercial funders actually work.
It scores the factors MCA funders actually use
Onyx IQ can make decisions using adjusted deposits, NSF and negative days, active positions, time since last funding, and other signals your team already reviews. You do not have to force an underwriting system built for consumer loans to fit an MCA operation.
Each commercial product can follow its own credit policy
An SBA loan may be scored against DSCR and time in business. Commercial real estate may use an LTV ceiling. Equipment finance may follow its own collateral and credit requirements. You can build a separate scorecard for each product inside Onyx IQ, without engineering, and manage the entire commercial book in one system.
Your credit team controls and can explain every decision
Every approval, decline, and referral shows which rules produced the result. That gives capital partners and auditors a clear record of how the deal was decided, and it keeps control of the credit policy with your head of credit instead of a developer or data-science team.
An approval moves straight into an offer
The scorecard runs on the same deal record as intake, contracts, funding, servicing, and reporting. When a deal is approved, Onyx IQ can generate the terms and send the offer immediately, so your team does not have to copy the result into another system or rebuild the deal before it can move forward.
Bring a rule your team uses today, such as a FICO floor, deposit minimum, or restricted industry. We will build it into an Onyx IQ scorecard and run real submissions through it. You will see which deals are approved, which are declined, which are sent to manual review, and how approved offers are generated.
You will also see exactly which files your underwriters can stop reviewing by hand and where their judgment is still needed.
Book a walkthroughWhat is automated underwriting software?
Automated underwriting software reads an application, collects the required data, applies your credit rules, and returns an approve, decline, or refer decision before an underwriter reviews the file. It may be built into a full lending platform or connected as a standalone decisioning tool. In both cases, the scorecard is the part that makes the credit decision.
What is a business credit scorecard?
A business credit scorecard is the rule set that holds your credit policy. Your team defines criteria such as minimum FICO, deposit volume, time in business, NSF limits, and restricted industries, and the scorecard checks each application against those rules and returns an approval, decline, or referral for manual review. The scorecard makes the decision, while the larger underwriting workflow also includes intake, data collection, pricing, offers, and routing.
What is the best automated underwriting software for an MCA business?
MCA underwriting software should evaluate the factors funders actually use, including FICO, adjusted deposits, negative and NSF days, active positions, and time in business, and your credit team should be able to change those rules without engineering. Onyx IQ is built around those requirements: automated underwriting runs inside the full lending platform, and the same system can also underwrite commercial products such as term loans and equipment finance.
Which loan software has configurable underwriting rules and no-code scorecards?
A configurable underwriting system lets your team adjust rules such as FICO floors, deposit minimums, and industry restrictions, and a true no-code scorecard lets the credit team build and change those rules directly in the platform without writing code. Not every configurable platform is no-code, so ask the vendor to change a rule during the demo. In Onyx IQ, the credit team controls the scorecard directly.
Which platform lets my head of credit change scorecard rules without engineering?
Look for a platform with a true no-code scorecard. Your head of credit should be able to change a threshold, weighting, or rule in the interface and apply it to the next submission, without an engineer, support ticket, or software release. Onyx IQ works this way.
Does automated underwriting replace underwriters?
No. It removes routine files from their queue. Clear approvals and declines can move automatically, while underwriters focus on borderline deals, unusual industries, stacked positions, and other cases that need judgment. The goal is to help the same team handle more volume while keeping experienced underwriters focused on the decisions where their judgment matters.
Can automated underwriting handle commercial lending as well as MCA?
Yes, as long as the platform supports separate rules for each product. In Onyx IQ, SBA loans can run against DSCR and time-in-business requirements, commercial real estate against LTV limits, and equipment finance against its own credit and collateral rules. That allows a lender to add commercial products without buying a separate underwriting system.
How does Onyx IQ keep automated decisions auditable?
Onyx IQ saves every version of each scorecard and records the exact version used for every approval, decline, and referral. Your team can open a deal months later and see which rules ran, what the results were, and why the system reached that decision, which gives auditors, regulators, and capital partners a clear record of how the deal was evaluated.