Unlock the Future of Finance with AI & ML
In today's fast-paced financial world, staying ahead requires more than just traditional strategies; it demands the integration of cutting-edge Artificial Intelligence and Machine Learning technologies. At Phenx, we specialize in transforming complex financial challenges into opportunities for growth and innovation. Discover how our bespoke AI and ML services can propel your business into the future.
Our services
RiskCore™ - Credit Scoring & Decisioning
We build portfolio-specific credit models that outperform one-size-fits-all scores with auditable, explainable decisions.
Key Capabilities
-
Blend internal application/behavioral data with bureau & alternative sources
-
Champion/challenger training with drift monitoring & stability checks
-
Post-model explainability (SHAP/LIME) and reason codes
-
Policy overlays, cutoffs, reject inference support
Outcomes
-
+5–15% lift in approval precision at constant risk
-
Lower manual reviews; faster decisions
-
Regulator-ready documentation and audit trails
SegmentIQ™ - Customer Segmentation & Offer Targeting
Data-driven segments that drive better pricing, cross-sell, and lifecycle strategies.
Key Capabilities
-
Behavioral, profitability, and risk-aware segmentation
-
Look-alike & uplift models for offers and channels
-
Next-best-action orchestration hooks (CRM/MA integration)
-
A/B testing framework with lift and ROI readouts
Outcomes
-
Higher conversion and CLV with tighter CAC
-
Fewer blanket offers; more precise targeting
-
Reusable segments across marketing, risk, and collections
ScoreLift™
We help lenders go beyond one-size-fits-all credit scoring. Using machine learning and statistical validation, we identify which bureau scores—or combinations—best predict performance across your customer segments.
Key Capabilities:
-
Benchmark multiple bureau scores (FICO, Vantage, Experian, Equifax, TransUnion)
-
Run lift analysis and cross-validation to quantify predictive gains
-
Optimize variable selection for each portfolio type
-
Develop blended or ensemble scoring strategies using ML
-
Ensure transparency and regulatory defensibility in score choice
Outcomes:
-
10–25% increase in model lift
-
Reduced misclassification of credit risk
-
Tailored scorecards aligned with portfolio behavior
-
Faster deployment of credit decisioning strategies
FraudShield™ - Real-Time Fraud Detection
Adaptive models that catch unseen patterns with minimal false positives across the customer journey.
Key Capabilities
-
Supervised + unsupervised ensemble (graph, anomaly, device, velocity)
-
Rules + ML policy builder with explainable alerts
-
Streaming scoring (pre-app → onboarding → transactions)
-
Feedback loops for rapid learning on confirmed cases
Outcomes
-
Material fraud loss reduction with stable customer experience
-
Lower alert fatigue and Ops cost
-
Auditable detections with reason codes
LossMap™ - PD/LGD/EAD & Loss Forecasting
End-to-end risk components and portfolio loss forecasts to power pricing, allowance, and strategy.
Key Capabilities
-
PD/LGD/EAD modeling with macro sensitivity & stress scenarios
-
Vintage/roll-rate & cohort forecasting; CECL/IFRS-9 friendly pipelines
-
Segmented stability testing and backtesting harness
-
MLOps for periodic recalibration and data drift alarms
Outcomes
-
Tighter reserve estimates and fewer forecast surprises
-
Clear line-of-sight from macro shifts to portfolio impact
-
Faster close cycles with automated reporting
“This is an AI company you want to work with”
CRO at One of the Leading Lenders in the Pre-Owned Automobile Sector.
Advancing Beyond Traditional Data
Our approach to data utilization sets us apart in the industry. We excel at constructing models that transcend the limitations of traditional bureau data feeds. By incorporating and thoroughly analyzing both application variables and a diverse array of non-traditional data points, our models offer a richer, more comprehensive analytical depth. This innovative approach not only broadens the scope of our analysis but also uncovers valuable insights that conventional methods may miss.
Transparency and Trust
In an industry where trust is paramount, we prioritize transparency. Our Explainable AI approach ensures that every decision made by our systems is understandable and justifiable, fostering trust and compliance.
