Marshall Capital Group (MCG), founded by Bradon Marshall, is renowned for a customer-first approach in equipment finance. As MCG added new team members, it needed to standardize its origination processes to maintain consistency and quality while scaling .
Business Challenge
Bradon Marshall recognized that building an internal LOS would divert focus from core strengths. MCG needed to:
- Streamline customer onboarding with a digital application rather than paper or email forms
- Automate repetitive tasks—credit scoring, document generation, compliance checks—to free up staff for relationship building
- Embed finance capabilities for vendor partners, tracking referrals automatically
- Gain real-time visibility into pipeline bottlenecks and risk flags.
Solution & AI Implementation
- AI-Driven Digital Application Deployment
- Pre-trained NLP models parsed vendor websites and generated a customizable digital form in under 1 week, mapping inputs directly into the LOS.
- Automated AI Credit Scoring & Document Understanding
- A supervised machine-learning credit model evaluated borrower risk in seconds, replacing manual scorecards.
- RAG-powered document ingestion extracted collateral, lease terms, and guarantor details with 95% accuracy, routing exceptions for human review only when needed.
- Intelligent Rule Engine & Anomaly Detection
- Dynamic rule templates adapted review checklists based on deal size and industry segment.
- Unsupervised outlier detection flagged non-standard terms or missing collateral clauses for immediate attention.
- Embedded AI Referral & Vendor Management
- An AI agent automatically linked every application to the correct vendor partner and sales rep, ensuring accurate commission tracking and seamless deal flow.
Results & Impact
By embedding AI across the LOS, MCG achieved:
- Week-One Digital Launch: From contract signing to live digital application in just 7 days.
- 70% Reduction in Manual Workloads: AI credit scoring and document extraction eliminated repetitive tasks.
- 40% Faster Decisioning: Underwriting turnaround dropped from days to hours.
- 3× Deal Volume with No Headcount Increase: AI agents scaled operations while preserving margins.
- Real-Time Risk Control: Predictive dashboards enabled pre-emptive staffing adjustments and instant compliance audits.
Key Takeaways
- AI as the Growth Engine: Smart automation drives throughput without adding people.
- Data-Driven Control: Predictive insights turn reactive management into proactive strategy.
- Seamless Partner Integration: Embedded AI referral tracking ensures every deal isaccurately credited.
