Enterprise AI Automation Project
Kodmonk engineered the AI microservices, orchestration logic, and web interface.
Pod Scope: AI Engineers, Full-Stack Developers, and Cloud DevOps Engineers.
Designed capacityAI-Powered Workflow & Document Automation Engine
Integrated LLM AI pipelines and automated document extraction workflows into enterprise backend services to accelerate decision-making.
Context
Client required automated extraction, classification, and validation of complex enterprise documents (contracts, invoices, reports).
Challenge
Achieve high extraction accuracy while maintaining strict data privacy, human-in-the-loop validation, and security compliance.
Kodmonk Approach
- 01
Designed secure Python & Node.js orchestration pipelines interfacing with OpenAI and custom OCR APIs.
- 02
Built clean React human-in-the-loop review interfaces for audit approval.
- 03
Enforced encrypted data transit, zero-retention privacy controls, and audit logging.
Outcomes
- Accelerated document processing speed by 10x with 98%+ accuracy.
- Saved over 500 hours monthly of manual data review.
- Enterprise-grade security architecture compliant with SOC2 guidelines.
System Architecture
01React Validation Workspace
02Python AI Ingestion Pipeline
03OpenAI Secure APIs
04AWS Lambda & S3 Encrypted Storage
Constraints
- Zero data retention by AI vendors
- Strict audit trails for human overrides
Trade-offs
- Human validation step for low-confidence scores to ensure 100% reliability