Payments & Transactions
Overview
Optimize payment processing, routing, and authorization decisions with AI that improves success rates, reduces costs, and enhances customer experience.
Key Challenges We Address
- High payment failure rates due to suboptimal routing
- False declines frustrating customers and losing revenue
- Manual exception handling and reconciliation
- Fraud vs. friction balance in authorization
- Cross‑border payment complexity
- Settlement and clearing inefficiencies
Our Approach
Strategic Advisory
- Payments AI strategy and use case prioritization
- Authorization optimization analysis
- Payment routing strategy
- Vendor and processor evaluation
- Infrastructure modernization roadmap
Selective Implementation
- Intelligent payment routing systems
- Authorization optimization engines
- Payment failure prediction and retry logic
- Transaction categorization and enrichment
- Reconciliation automation
- Cross‑border payment optimization
Capabilities
- Real‑time routing decisions across multiple processors
- Dynamic authorization strategies based on risk and context
- Network analysis for optimal payment paths
- Predictive models for payment success probability
- Automated exception handling
- Transaction‑level profitability optimization
Typical Outcomes
- 20‑35% reduction in payment failures
- 15‑25% decrease in false authorization declines
- 10‑20% savings on payment processing costs
- 50‑70% reduction in manual reconciliation effort
- 30‑45% improvement in cross‑border payment success
Case Example
E‑commerce platform: Implemented intelligent payment routing reducing failure rates by 28% and processing costs by 18%. Authorization optimization decreased false declines by 21%, recovering $4M in annual revenue. System processes 2M+ daily transactions across 15 payment processors.