What is ADEPT Decisions Platform?
The ADEPT Decisions Platform offers a highly configurable fintech lending toolkit designed to assist lenders of all sizes. It utilizes a powerful Decision Engine that supports the implementation of Machine Learning Models, enabling businesses to optimize their credit portfolios through effective A/B testing of strategies. This no-code, cloud-native solution provides a feature-rich credit risk management system suitable for various lending operations.
Built with a modular approach, the platform addresses the entire credit life cycle, including Originations Management, Accounts Management, and Marketing Management. This structure allows lenders to implement consistent credit, collections, and marketing strategies using a single engine. It facilitates the use of alternative data to automate and simplify lending decisions, particularly benefiting efforts towards financial inclusion by better serving unbanked and underbanked populations. The platform aims to enhance profitability by enabling more accurate customer decisioning, optimizing terms and conditions, and assigning affordability-driven limits.
Features
- Machine Learning Model Implementation: Supports the use of ML models for credit decisioning.
- A/B Strategy Testing: Facilitates champion-challenger testing to optimize strategies.
- No-Code Interface: Allows configuration and management without coding expertise.
- Cloud-Native Architecture: Built for scalability and accessibility.
- Modular Design: Separate components for Originations, Accounts, and Marketing Management.
- Alternative Data Integration: Enables use of non-traditional data for decision-making.
- Credit Life Cycle Management: Covers decisioning across the entire customer journey.
- Profitability Optimization Tools: Helps manage profit levers and assign limits.
Use Cases
- Automating loan origination decisions.
- Managing customer accounts throughout the credit lifecycle.
- Developing and testing marketing strategies for financial products.
- Optimizing credit portfolios for increased profitability.
- Enhancing financial inclusion by assessing unbanked/underbanked applicants using alternative data.
- Implementing consistent credit risk management policies.
- Reducing customer acquisition costs through efficient decisioning.
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