In Progress
KAVI Platform
AI-powered operational platform for finance teams
System Snapshot
Problem Space
Manual financial operations
Core Users
Finance teams, 5-50 people
Primary Constraint
Integration with legacy systems
Role
Architecture & Backend
Technologies Used
Next.jsPostgreSQLRedisOpenAI
Problem
Fragmented Workflows
- Data scattered across 5+ tools
- No single source of truth
- Manual reconciliation taking hours daily
Limited Visibility
- Managers blind to team workload
- No real-time status on transactions
- Reporting required manual exports
System Design
Modular Architecture
- Plugin-based integration layer
- Event-driven processing pipeline
- Tenant isolation for security
AI Layer
- Automated transaction categorization
- Anomaly detection on spend patterns
- Natural language query interface
Trade-offs
- Chose PostgreSQL over NoSQL for ACID compliance
- Accepted higher latency for stronger consistency
- Built custom sync vs. using third-party iPaaS
Market Impact
Shipped
- Complete operational workspace
- Real-time collaboration layer
- Automated daily reporting
Impact
- 70% reduction in manual entry
- Same-day close instead of week-long
- 3x faster audit preparation
Architecture
High-level system architecture showing data flow from integrations through processing to the client layer.
Skills & Lessons
Skills Gained
- Designing event-driven microservices architecture
- Integrating LLMs for data classification tasks
- Managing complex distributed state
- Building tenant-isolated security models
Lessons Learned
- Started with too many features — should have shipped core loop earlier
- Underestimated complexity of legacy ERP integrations
- Real-time sync added value but increased operational overhead
- Would invest more in observability from day one
