How to Build a Lending App With Automated Decisioning on Creatr

Lending apps are not complicated in concept - collect an application, evaluate it against your criteria, make a decision, and track repayment. The hard part is wiring all of those pieces together in a way that is auditable, defensible, and fast enough to be useful. This tutorial walks through building a full lending workflow on Creatr using plain-English prompts, with automated decisioning, a human review queue, disbursement tracking via Stripe, and a collections layer.

A note before you start: lending is heavily regulated. Licensing requirements, fair-lending obligations, interest rate caps, and disclosure rules vary by jurisdiction and by loan type. Nothing in this tutorial constitutes legal or compliance advice. Before you offer credit to real borrowers, consult a lawyer who specializes in consumer or commercial finance in your jurisdiction. Build the app here - get the compliance structure from qualified counsel.

Before you start

Before you open Creatr, make sure you have clear answers to these questions. The clearer your answers, the better your prompts will be.

1. Who is the borrower? Consumers, small businesses, employees of a specific company, or another defined group. Your decisioning criteria, data fields, and compliance obligations differ significantly depending on the answer.
2. What are you lending? Installment loans, lines of credit, invoice advances, salary advances, BNPL - each has a different repayment structure and decisioning logic.
3. What are your underwriting criteria? Write down the specific rules you want the system to apply: minimum credit score, maximum debt-to-income ratio, minimum time in business, required documents, and any automatic disqualifiers.
4. Who reviews borderline applications? Identify the role (loan officer, underwriter, credit committee) and the threshold - at what score or flag does a case move to human review instead of auto-approving or auto-declining.
5. How is money disbursed and repaid? This tutorial uses Stripe for both, but you need a Stripe account set up and your banking partners confirmed before disbursement goes live.
6. What does your collections process look like? Define the timeline: first reminder at what day past due, second reminder when, escalation when, and what statuses exist (current, late, default, resolved).

Write these answers down. You will paste them directly into your Creatr prompts.

Step 1 - Describe your lending workflow and roles

Start by giving Creatr the full picture of what this app needs to do and who will use it.

Build a lending app for [describe your lending use case - e.g., "small business working capital loans up to $50,000"]. The app has three types of users: Applicants who submit loan applications and check their status, Underwriters who review flagged applications and override automated decisions, and Admins who manage the loan portfolio, run reports, and configure decisioning rules. Automated decisions happen instantly for applications that clearly pass or clearly fail our criteria. Applications in the grey zone go to the underwriter review queue. Every decision - automated or manual - must be logged in an immutable audit trail with a timestamp, the actor (system or user), and the reason.

After Creatr confirms the structure, refine the roles if needed:

The Applicant should only see their own applications and their current status. They should not see the decisioning criteria, other applicants, or internal notes. The Underwriter sees the full application, the automated score, the flags that triggered review, and can approve, decline, or request more information. The Admin can do everything the Underwriter can plus configure decisioning parameters and export audit logs.

This step sets the permission model and data visibility rules. Get it right before building forms.

Step 2 - Build the application intake form

The intake form is the first thing applicants see. It needs to collect exactly the data your underwriting rules require - nothing more, nothing less.

Add an application intake form for applicants. Required fields: full legal name, date of birth, email address, phone number, [add your required fields - e.g., business name, EIN, annual revenue, years in business, requested loan amount, loan purpose]. Optional fields: [any supplementary fields]. The form should support document uploads for [list required documents - e.g., last 3 months of bank statements, most recent tax return, government-issued ID]. When an application is submitted, the applicant receives a confirmation email with their application reference number. The application status starts as "Received."

Then add validation:

Validate the form on submission. The requested loan amount must be between [your minimum] and [your maximum]. Date of birth must make the applicant at least 18 years old. Email must be a valid format. If required documents are missing, block submission and show which documents are needed. Show a progress indicator so applicants know how many steps remain.

Document upload and status confirmation together reduce inbound support volume significantly. Build them in now.

Step 3 - Build the underwriting rules engine

This is the core of the app. You are defining your credit policy in plain English, and Creatr will wire it into an automated scoring and decisioning layer.

Add an automated underwriting engine. When an application is submitted, score it against these rules: [paste your full criteria list here]. Example format: "Minimum credit score 650 - applications below 620 auto-decline, 620-649 flag for review, 650+ continue. Debt-to-income ratio below 40% required - above 50% auto-decline, 40-50% flag for review. Business must have been operating for at least 12 months - under 6 months auto-decline, 6-11 months flag for review. Requested amount cannot exceed 25% of annual revenue - if it does, flag for review." Produce a composite score and a list of triggered flags. The score and flags are internal - never visible to the applicant.

After the initial rules are in, add the configuration interface for Admins:

Add a decisioning configuration panel visible only to Admins. Admins can adjust the thresholds for each rule - the auto-decline cutoff, the review trigger, and the auto-approve minimum. When an Admin changes a threshold, log the change in the audit trail with the Admin's user ID, the old value, the new value, and the timestamp. The live rules are the ones currently saved in this panel.

This gives you a lending policy you can adjust without rebuilding the app.

Step 4 - Automated decision with human override and review queue

Auto-approve and auto-decline are fast. The review queue is where your underwriters earn their keep. Both paths need to feed the same audit trail.

After scoring, route each application: if all rules pass and the composite score exceeds [your auto-approve threshold], set status to "Approved - Pending Disbursement" and send the applicant an approval email with their loan terms. If any auto-decline rule fires, set status to "Declined" and send a decline notice that complies with your adverse action notice requirements [note: work with your compliance counsel on the exact language]. If any review flag fires and no auto-decline rule fires, set status to "In Review" and add the application to the underwriter queue with all flags listed.

Then build the human override:

In the underwriter review queue, show each flagged application with: the applicant's submitted information, all triggered flags with the specific values that triggered them, the automated score, any documents uploaded, and an internal notes field. The underwriter can take one of three actions: Approve (with required note explaining the override), Decline (with required note), or Request More Information (with a message sent to the applicant and the application status set to "Information Requested"). Every action by an underwriter is logged in the audit trail with their user ID, the action taken, the note they wrote, and the timestamp.

When an underwriter approves an application that the automated system flagged, tag the audit entry as a "Manual Override - Approve." When they decline one the system would have approved, tag it "Manual Override - Decline." This lets you review override patterns over time.

The note requirement on overrides is not bureaucratic friction - it is your paper trail if a decision is ever challenged.

Step 5 - Disbursement record and Stripe integration

Approval does not mean money has moved. Disbursement is a separate tracked event.

After an application is approved, create a disbursement record with fields: loan ID, borrower name, approved amount, disbursement date (blank until confirmed), disbursement method, disbursement status (Pending, Processing, Completed, Failed), and repayment schedule (start date, installment amount, frequency, number of installments). Wire the disbursement action to Stripe so that when an Admin or Underwriter clicks "Disburse," it initiates the transfer via Stripe and records the Stripe transfer ID against the loan record. When Stripe confirms the transfer, update disbursement status to Completed and set the disbursement date. If Stripe returns a failure, set status to Failed and flag the record for Admin review.

Also set up Stripe to collect repayments. Each loan should have a repayment schedule. When a payment is due, generate a payment link or charge the borrower's saved payment method via Stripe. Record each payment received against the loan's repayment schedule and update the outstanding balance. Log every payment event - successful, failed, or partial - in the audit trail.

Keep disbursement and repayment as separate tracked objects. Mixing them makes reconciliation harder later.

Step 6 - Collections workflow

Not every borrower pays on time. Build the collections layer before you need it.

Add a collections workflow. A loan enters "Late" status automatically when a payment is more than [your grace period, e.g., 5] days past due. At that point, send the borrower an automated reminder email. If payment is not received within [e.g., 15] days past due, send a second notice and flag the loan in the underwriter queue as "Collections Attention Required." At [e.g., 30] days past due, escalate to "Default" status. Loan statuses available: Current, Late, Collections, Default, Paid Off, Charged Off, Settled. Only Admins can manually change a loan status. Every status change is logged in the audit trail.

Add a collections notes field to each loan record, visible to Underwriters and Admins. When a staff member makes contact with a borrower about a past-due account, they can log the contact attempt: date, method (phone, email, letter), outcome, and any commitment made by the borrower. These notes are internal only.

Collections reminder emails should include the overdue amount, the due date that was missed, a payment link, and contact information for your support team. Do not include any language that could be construed as threatening or that violates debt collection regulations in your jurisdiction [note: have your compliance counsel review all collections communications before sending them to real borrowers].

Step 7 - Full audit trail of every decision

The audit trail you have been building across each step needs to be surfaced as a first-class interface.

Build an Audit Log page accessible to Admins only. Show every logged event in reverse chronological order: application submissions, automated decisions and scores, underwriter actions and notes, Admin configuration changes, disbursement events, payment events, status changes, and collections notes. Each row shows: timestamp, actor (system or user name and ID), event type, affected loan or application ID, and a summary of what changed. Admins can filter by date range, actor, event type, and loan ID. Admins can export the filtered log as a CSV.

The audit log is append-only. No entry can be edited or deleted through the app interface. If a record needs correction, the correction is a new entry that references the original entry and explains what changed and why.

The append-only requirement is what makes the audit trail legally useful. Make sure Creatr enforces it at the data level.

Step 8 - Dashboards

Decisioning data is only useful if you can see patterns. Build dashboards for each role.

Add a portfolio dashboard for Admins showing: total applications received (today, this week, this month, all time), applications by status (Received, In Review, Approved, Declined, Disbursed, Current, Late, Default, Paid Off), total outstanding loan balance, total amount disbursed this month, average loan size, approval rate, average time from application to decision, and number of manual overrides this month. Include a chart showing application volume by week over the last 12 weeks.

Add an underwriter dashboard showing: applications currently in the review queue with time elapsed since submission, applications where the borrower has responded to an information request, loans currently in Late or Collections status, and their own decision history for the current month (approvals, declines, overrides).

Add an applicant status page showing only their own applications. For each application: reference number, submission date, current status, any outstanding information requests with a way to respond and re-upload documents, and - if approved and disbursed - their current balance and next payment due date.

Applicants should never see anything that reveals your scoring logic, other applications, or internal notes.

Step 9 - Test edge cases

Before you put this in front of real borrowers, work through the cases most likely to expose gaps.

Add a test mode for the app that does not send real emails, does not trigger real Stripe transfers, and flags all records as test data. In test mode, let me submit applications with specific values to verify decisioning: I want to test an application that should auto-approve, one that should auto-decline due to credit score, one that should auto-decline due to debt-to-income, one that should be flagged for review, and one with missing required documents. Show me the score, the triggered flags, and the routing decision for each test submission.

Run through each test case and verify:

• Auto-approve routes to "Approved - Pending Disbursement" with the correct loan terms and triggers the approval email.
• Auto-decline routes to "Declined" with the correct reason code and triggers the decline notice.
• Flagged applications appear in the underwriter queue with all flags listed correctly.
• Underwriter approval, decline, and information request actions all log correctly in the audit trail.
• The Admin configuration panel changes thresholds and the change is reflected immediately in new decisions.
• The disbursement flow updates the loan record and logs the Stripe transfer ID.
• The collections timeline triggers status changes and emails at the correct intervals.

After testing, clear all test records and switch to live mode. Confirm that the Stripe integration is pointed at the live account, not the test account.

Do not skip the edge case testing. A lending app that declines the wrong borrowers or approves the wrong ones creates real financial and legal exposure.

Step 10 - Ship and iterate

Before going live, add a publicly visible privacy policy page and terms of service page. These are placeholders - I will replace the content with legally reviewed versions before launching. Also add a contact page with support email and business address.

Set up automated daily email reports to [your admin email] with yesterday's application volume, decisions made, and any loans that moved to Late or Default status.

Once you are live, the iteration cycle is short. Collect real data, watch your approval rate and default rate, and adjust your decisioning thresholds in the Admin configuration panel. When you find edge cases that the automated rules handle badly, add new rules or adjust thresholds. Every change is logged in the audit trail.

Build the collections and audit features before you need them. The loan officers and compliance teams who come after you will not forgive you if the data is missing.

Related: Build an internal tool for your team, Build an admin dashboard.

Recap

You described a complete lending workflow in plain English - intake form, underwriting rules engine, automated decisioning, human review queue, disbursement via Stripe, repayment tracking, collections, and an append-only audit trail. The key safety mechanisms are the required note on every manual override and the immutable audit log that covers every event from application to payoff.

The decisioning thresholds live in an Admin configuration panel, not in the code, so you can adjust your credit policy without rebuilding the app. The review queue ensures a human sees every borderline case. The audit trail ensures every decision - automated or manual - is defensible.

What you do not have yet is compliance coverage. Licensing, adverse action notices, fair-lending analysis, interest rate disclosures, and collections communications all require jurisdiction-specific legal review before this app goes in front of real borrowers. The app structure is sound. Get the legal structure from qualified counsel before you lend real money.