Skip to content Skip to footer
Use Cases

Selected AI Solutions – Proven, Scalable & Value Generative

Procurement Taxonomy Classification and Parent-Child Management

Procurement

Contract Analytics (Escalation and Clause Analytics)
  • AI classifiers for contract clauses and escalation notes
  • Auto-detection of variance for human review
  • UX for feedback collection and continuous learning
Taxonomy Classification and Parent-Child Management
  • Web application for taxonomy changes, impact assessment, and conflict resolution
  • Auto-classifiers for supplier parents – NLP + Deep learning to link parents with child suppliers

Supply Chain

Quantified Assessment of Event Risk in the Supply Chain
  • Integrated structured and unstructured, external and internal supplier data (30+ sources, 200+ features)
  • ML model to quantify relative risk + Continuous learning loop
Master Data Management – Golden Supplier Record
  • Matching, de-duplication (30+ disparate sources)
  • ML model to arbitrate conflicting info and create a golden record
  • Validation and enrichment using external sources
Supply Chain Master Data Management – Golden Supplier Record
Providers RCM (Revenue Cycle Management)

Providers

Clinical Intervention to Improve Health Outcomes
  • Matching, de-duplication (30+ disparate sources)
  • ML model to arbitrate conflicting info and create a golden record
  • Validation and enrichment using external sources
RCM – ML models to reduce Revenue Leakage
  • Pattern-based solution to find missing charges in hospital bills
  • UI to prioritize auditor review and collect feedback for continuous learning

Payors

Fraud Risk Quantification and Anomaly Detection
  • Deep learning models to identify outlier claims missed by existing systems
  • AI-generated reason codes to reduce auditor effort
  • UX to streamline workflow and collect feedback

R&D

AI-based Auto-Creation of Regulatory Documents
  • NLP for identification of content from base documents
  • NLG for placement in the output document
  • UI for human review and feedback loop
Payors Fraud Risk Quantification and Anomaly Detection

Commercial

Customer MDM
ML-based matching and enrichment of customers (physicians, hospitals, and healthcare providers) based on traditional and non-traditional data sources