Credit decisioning platform: scoring, underwriting, automated decisioning
Retail loan — seconds. SME loan — days. Corporate — weeks. The platform structures decisioning per segment with an auditable trail.
Discuss Your SetupWhat this solution is
Credit Decisioning Platform is the unified loop for lending decisions across segments:
- Retail (consumer loan, credit card) — fully automated, seconds.
- SME — semi-automated, hours-days. Score + underwriter review.
- Corporate — manual underwriting, weeks. Platform organises the workflow.
Integration with eKYC, fraud platform, customer 360, government data (OMS, tax).
When the bank needs this solution
Approval time for retail >5 minutes — customer goes to a competitor.
NPL ratio grows faster than portfolio growth — decisioning quality weak.
Underwriter team overloaded — does not review each application properly.
Regulator (cbu.uz) raises requirements for credit risk frameworks — IFRS9, Basel-style standards.
Existing decisioning lives in underwriter Excels — auditable trail absent.
How it works
Scoring engine. ML models (PD, LGD, EAD) per segment. Continuous retraining.
Policy layer. Declarative rules (regulatory limits, risk appetite, exclusion lists). Change without deploy.
Underwriting workflow. Per segment — different steps. Retail: instant. SME: docs + analyst. Corporate: committee.
Document capture. Statements, financials, collateral docs. OCR + structured extraction.
External data integration. OMS, credit bureau, tax data, utilities payment history.
Audit trail. Every decision with full input data, model versions, policies, override decisions, owner.
Override and committee workflow. Escalation for borderline cases.
Post-decision monitoring. Approved loans tracked for performance — feedback into model retraining.
What the bank gets
Retail approval time from minutes to seconds.
SME approval from days to hours-days.
NPL rate down through better risk discrimination.
Underwriter throughput up 2-3x — focus on complex cases.
Regulator compliance audit-ready.
Pricing differentiation possible — risk-based pricing.
When not needed
Small bank with low loan volume — manual works.
Banking core (ABS) does not allow integration — each decisioning manual.
Risk culture not ready — automation requires trust in model decisions.
How to start
Credit Decisioning Diagnostic — 4-6 weeks. Current state, regulatory gap, target architecture, pilot scope.
Related
- /en/architecture/banking-realtime-decisioning/ — decisioning architecture
- /en/insights/banking-credit-risk-management/ — credit risk
- /en/architecture/banking-mlops-architecture/ — MLOps
- /en/insights/banking-ifrs9-implementation/ — IFRS9
Recognize your situation?
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