End-to-End Reconciliation Workflow
FopsAI is an AI-native reconciliation and ETL platform—built for performance, governance, and auditability in regulated financial operations.
Data Ingestion & Transform
AI Capabilities:
✓ AI Transform Agent
✓ Semantic column mapping
✓ Natural language rule creation
No-Code ETL:
✓ Multi-channel extraction
✓ 50+ operators
✓ Polars processing (10-100x faster)
Match & Reconcile
AI Capabilities:
✓ AI Match Agent
✓ Semantic match (embedding-based)
✓ Strategy recommendation
No-Code Matching:
✓ 30+ match operators
✓ 6 match strategies (1:1, 1:M, M:M)
✓ Multi-pass (Exact/Fuzzy/Semantic)
Exceptions & Break Management
Exception Management:
✓ Automatic break detection
✓ Lifecycle & SLA tracking
✓ Reason/resolution taxonomy
✓ Priority escalation
AI Studio (Coming):
→ Break research assistants
→ Resolution automation
Reporting & Monitor
Dashboards:
✓ Daily recon results
✓ Cash proofing
✓ Match history
✓ Break management
Monitoring:
✓ Real-time status
✓ Metrics & alerting
Enterprise & AI-Native Architecture
LLM Service (Provider-Agnostic)
✓ Open Source + AWS Bedrock (Anthropic)
✓ Azure OpenAI, Groq & more
✓ Centralized gateway with routing
✓ Privacy-first: no training on data
✓ Cost metering & usage tracking
Security & Compliance
✓ Multi-tenant isolation
✓ JWT authentication with RBAC
✓ Comprehensive audit trails
✓ Maker-Checker workflows
✓ TLS/HTTPS encryption
Scalability & Performance
✓ Microservices architecture
✓ AWS Cloud native deployment
✓ Polars vectorized processing
✓ Distributed task queues
✓ In-memory caching & messaging
Benchmark
| Capability | Legacy Tools | FopsAI |
|---|---|---|
| Setup Speed | 4-12 Weeks | 3 Days |
| AI Approach | Predictive / Pattern-Based | Reasoning (Glass Box) |
| Auditability | Limited explanations | Evidence + approvals |
| Engine | SQL / Java | Rust / Polars |
| Mapping | Manual Regex | Semantic AI |
| Break Resolution | Manual | Agentic |