Consumer Lending: “Can I Afford This Home?”

24-hour mortgage approvals with 22% more qualified applicants approved through intelligent multi-method processing.

80%
Automation
24hr
Processing
+22%
More Approvals
$180K
Saved

Challenge & Solution

Why single-method approaches fall short, and what replaces them.
The Challenge
Manual processing takes 3 5 days per application
Rule-based systems only achieve 56% approval rate
LLM-only approaches introduce compliance risk
No single method handles all requirements
The Solution
Multi-method architecture: deterministic rules for compliance, ML models for risk scoring, LLMs for document understanding, and fork-join patterns for parallel data enrichment.

Workflow Components

11 coordinated components across agents, rules, and models.
01
Chat Agent
02
Orchestration Agent
03
Policy Agent
04
Workflow Agent
05
Decision Rules
06
Document Ingestion
07
Fork-Join Enrichment
08
ML Scoring
09
Hybrid Decision
10
Companion Agent
11
Explainer Agent

Workflow

End-to-end execution path, including branch points and human gates.
Customer
Intent Analysis
Routing Orchestrator
Eligibility Rules Check
Data Enrichment Fork-Join
ML Scoring / Risk Model
Decision
80%
Auto Approve
20%
Human Review
Approval Explanation
Completed

Results

Measured in production.
+22%
More qualified approvals
-8%
Fewer defaults
24hr
Processing time
80%
Automation rate
100%
Audit compliance
$180K
Annual savings

Why Multi-Method Matters Here

No single technique covers the whole problem.
Deterministic Compliance
Rules enforce regulatory requirements with zero ambiguity.
Intelligent Judgment
ML models evaluate risk beyond simple thresholds.
Explainable Decisions
LLMs generate human-readable explanations for every outcome.
Production-Grade Reliability
Orchestrated workflow ensures consistent, auditable processing.