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Use Cases

Financial Services

GLAI revolutionizes AI in financial services by providing enhanced explainability for model documentation and validation

The Challenge

Lack of Interpretability in Advanced AI/ML Models
Regulatory Compliance Requirements
High Computational Costs of Traditional Explainability Tools

Why Choose GLAI for Financial Services?

GLAI bridges the gap between advanced AI capabilities and the transparency required in financial services. Whether you’re modeling credit risk, prepayment probabilities, or customer behavior, GLAI ensures your models are interpretable, efficient, and compliant—helping you unlock better business outcomes with confidence.

Results: Explainable AI for Prepayment Probability Modeling

Using a synthetic dataset (5M rows) for prepayment probability prediction, GLAI demonstrated exceptional performance compared to traditional neural networks:
Accuracy:  Identical results between GLAI and the base neural network
Efficiency: GLAI achieved SHAP-like interpretability while being 5x faster in generating explanations.
Interpretability: Delivered clear global and local explanations for each prediction, enabling better decision-making.
Computational Efficiency: Orders of magnitude faster than SHAP for large datasets.
Local Interpretability: Immediate insights into feature contributions for individual predictions.

Our proposal is capable of delivering a similar level of global explainability using SHAP as that offered by conventional Neural Networks.
GLAI significantly outperforms SHAP in terms of speed (5x faster) and memory usage, especially as the number of samples increases

Immediately offers local interpretability for each individual sample, thus allowing to understand the effect of each model feature on the final response

Advantages

GLAI for Financial Services: Transparent and Efficient AI

GLAI revolutionizes AI in financial services by solving these challenges with innovative explainability and retraining capabilities
Regulatory-Ready Transparency
Ensure compliance with ease. GLAI’s explainable outputs meet the strict transparency requirements of financial regulators, fostering trust among stakeholders
Real-Time Interpretability
Explain complex models as if they were linear. GLAI provides both global and local interpretability, making it easy to understand and communicate AI decisions in real time
Faster Explainability with Lower Costs
Traditional tools like SHAP are computationally intensive, making them impractical for large datasets or real-time applications
Key Benefits

Key Benefits of Using GLAI in Financial Services

Enhanced Trust and Transparency
Provide clear explanations for every decision, building confidence among stakeholders, clients, and regulators
Regulatory Compliance Made Easy
Meet strict transparency standards with interpretable outputs that align with global financial regulations
Cost-Efficient Explainability
Reduce computational costs while delivering faster insights, enabling scalable deployment across large datasets
Improved Decision-Making
Empower teams with actionable insights into model behavior, leading to better business outcomes and customer support
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