Why Manual Credit Decisions Don't Scale
Manual credit decisions slow down lending and create inconsistency. Hardcoded rules mean every policy change becomes an IT project. When rates drop or regulations shift, you're stuck waiting instead of acting.
How Automated Credit Decisioning Works
From integration to proactive sales outreach.
Connect to Your Loan Origination System
GoRules integrates with your existing LOS, CRM, or lending platform. Your technical team sets it up once, then it runs automatically.
- REST API and native SDKs for any platform
- One-time integration, then it runs automatically
- Keeps your existing workflow intact
Define Your Credit Rules Visually
Your credit team builds eligibility criteria, scoring models, and pricing rules in a spreadsheet-like interface. No code, no tickets to engineering.
- Import existing rules from Excel
- Decision tables anyone can read and edit
- Combine income, credit score, DTI, and any other data
Automate Credit Decisions
Every application runs through your rules automatically. Instant decisions for clear approvals and denials. Edge cases get flagged for review.
- Decisions in milliseconds, not hours
- Consistent criteria applied every time
- Full audit trail of every decision
Re-evaluate Your Portfolio Automatically
Run your entire customer base through updated rules overnight. Find accounts that now qualify for better rates, higher limits, or new products.
- Batch process millions of records
- Flag credit limit increases and risk changes
- Identify upsell and cross-sell opportunities
Your Sales Team Reaches Out
When customers become eligible for new offers, your sales team gets notified. Turn rule changes into revenue opportunities.
- Automatic alerts when eligibility changes
- Pre-qualified leads for your sales team
- Proactive outreach while interest is warm
Credit Decisions You Can Automate
Common lending automation use cases.
Loan Eligibility
Check income, employment, and credit history against your criteria
Credit Limits
Calculate limits based on risk profile and customer segments
Risk-Based Pricing
Set interest rates dynamically based on applicant risk
Instant Decisions
Auto-approve or deny applications that meet clear criteria
Manual Review Routing
Flag edge cases for underwriter review with full context
Portfolio Monitoring
Continuously check existing accounts against updated rules
Credit Decision Engine: Build vs Buy
Two common paths, and why lending teams choose a third.
Build In-House
Your engineering team builds a custom decision engine from scratch.
- Months of development before you see results
- Building a flexible UI is a massive undertaking
- Ongoing maintenance pulls engineers from core product
- Business users still depend on developers for changes
Enterprise Platforms
Sign a multi-year contract with a legacy decision management vendor.
- Your data lives on their servers
- Need a feature? Get in line and wait
- Limited integration options with your LOS
- Locked into proprietary formats and pricing increases
GoRules: The Best of Both Worlds
A powerful decision engine you can self-host, with a visual interface your team will actually use.
- Open-source engine - no vendor lock-in, ever
- Self-host in your VPC or use our cloud
- Visual UI built by decision management experts
- Integrates with any LOS via API or SDK
- Your data stays yours
- Deploy in days, not months
Frequently Asked Questions
What is a credit decision engine?
A credit decision engine is software that automates lending decisions by evaluating applicant data against your credit rules. Instead of manual review or hardcoded logic, it uses configurable rules to instantly determine eligibility, calculate credit limits, and set pricing - while maintaining a full audit trail for compliance.
How long does integration take?
Most teams complete integration in hours to days, not months. GoRules provides REST APIs and native SDKs for popular languages, so your engineering team can connect it to your existing loan origination system with minimal effort. The rules themselves can be built and tested in parallel.
Can we use our existing credit scoring models?
Yes. You can import existing rules from Excel spreadsheets or recreate them visually in our decision table editor. GoRules supports complex scoring models, nested conditions, and custom calculations - all without writing code.
Is our data secure?
Your data stays yours. GoRules can be self-hosted in your own VPC, meaning applicant data never leaves your infrastructure. For cloud deployments, we offer SOC 2 Type II certification, encryption at rest and in transit, and configurable data retention policies.