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AI/ML for Banking & Financial Services

Ship fraud detection, risk models, and compliance-ready AI in weeks — without regulatory headaches or vendor lock-in.

Why BFSI teams choose us

Compliance-first AI that scales

Regulatory compliance built-in

SOC 2, PCI-DSS, GDPR, and audit trail requirements from day one. Model versioning, lineage tracking, and explainability for regulatory review.

On-prem & private cloud

Data never leaves your infrastructure. Deploy on AWS, Azure, GCP, or your own datacenter with full control over data residency.

Explainable AI

SHAP values, LIME, feature importance, and decision paths for loan approvals, credit scoring, and risk models that auditors can understand.

Real-time fraud detection

Sub-50ms inference for transaction screening. Stream processing with Kafka/Kinesis, feature stores, and canary deployments.

Solutions for banking & finance

From proof-of-concept to production in 6-12 weeks

Fraud Detection & AML

Real-time transaction monitoring with graph neural networks, anomaly detection, and rule-based systems. Integrate with existing fraud platforms or build greenfield.

  • • Transaction pattern analysis (graph embeddings + XGBoost)
  • • Account takeover detection (behavioral biometrics)
  • • AML/KYC automation (document verification + entity resolution)
  • • False positive reduction (ensemble models + human-in-loop)

Impact: 40-60% reduction in false positives, 3-5× faster investigation

Credit Scoring & Underwriting

Alternative data models for thin-file borrowers. Gradient boosting, neural networks, and ensemble methods with bias detection and fairness constraints.

  • • Alternative credit scoring (cash flow, social, telco data)
  • • Loan default prediction (XGBoost + CatBoost ensembles)
  • • Income verification (document OCR + NLP)
  • • Fair lending compliance (bias detection + mitigation)

Impact: 15-25% approval rate improvement without increasing risk

Document Intelligence & Automation

Extract structured data from contracts, loan applications, financial statements. OCR, NER, classification, and validation with 98%+ accuracy.

  • • Contract analysis & extraction (key terms, dates, parties)
  • • Financial statement parsing (balance sheets, P&L, cash flow)
  • • Loan application automation (form extraction + validation)
  • • Regulatory filing compliance (XBRL, SEC filings)

Impact: 80-90% time savings on document processing workflows

Intelligent Customer Service (RAG)

Chatbots that actually work. RAG over policy docs, product catalogs, and transaction history. Secure, private LLM deployments with PII redaction.

  • • Customer support automation (product questions, account queries)
  • • Internal knowledge base search (compliance, procedures, policies)
  • • Advisor assistance tools (next-best-action, portfolio insights)
  • • PII-safe deployments (on-prem LLMs or Azure OpenAI in your tenant)

Impact: 60-70% ticket deflection, 85% customer satisfaction

Client success: SecureBank

Real-world results in fraud detection

-52%

False positives

Faster investigations

3 months

ROI payback period

"Plexibit's MLOps platform gave us canary deploys, A/B testing, and model monitoring. We can now ship fraud detection updates weekly instead of quarterly."

— Robert Chen, Head of Data Science, SecureBank

Technology stack for BFSI

Battle-tested tools for regulated environments

ML Frameworks

Scikit-learn, XGBoost, LightGBM, CatBoost, PyTorch, TensorFlow

Infrastructure

AWS, Azure, GCP, On-prem, Kubernetes, Docker

Data Platforms

Snowflake, Databricks, Redshift, BigQuery, Postgres

MLOps

MLflow, Weights & Biases, Evidently, SageMaker, Vertex AI

Ready to explore AI for your business?

Book a 30‑min consult. No obligations.