I spearheaded the development of a document intelligence platform that processed 100K+ documents monthly across 15+ formats. With zero-code adaptability and intelligent automation, the solution dramatically reduced processing times and optimized human effort, enabling organizations to unlock insights from unstructured data at scale.
Challenge
Enterprises struggled with manual document processing, often taking days to analyze unstructured data from varied sources like contracts, invoices, SDS reports, and compliance forms. High dependency on manual review created errors, bottlenecks, and compliance risks. Adapting to new document types typically required custom development, slowing down integration with existing systems. The challenge was to create a scalable, intelligent, and flexible system capable of extracting and analyzing data from multiple formats quickly, accurately, and without heavy engineering dependencies.
Results
The platform transformed enterprise document workflows by reducing processing times from days to minutes while maintaining >95% model accuracy. Its zero-code adaptability allowed business teams to onboard new document types instantly, eliminating engineering bottlenecks and accelerating adoption. With intelligent automation and cross-domain analytics, organizations achieved 85%+ effort optimization, freeing teams to focus on decision-making rather than manual data entry. The platform’s ability to process 100K+ documents per month across 15+ formats created a scalable and future-proof foundation for enterprise-wide document intelligence.
>95%
Model Accuracy
85%+
Optimization of Manual Effort
Process
Discovery & Requirements Analysis
Collaborated with stakeholders to identify the most critical document types (contracts, invoices, SDS, compliance docs).
Defined key goals: speed, accuracy, zero-code adaptability, and seamless integration.
Platform Development
Built a robust pipeline capable of processing 100K+ documents/month across 15+ formats.
Designed the platform with zero-code configuration, allowing business teams to add new document types without engineering support.
Automation & AI Integration
Leveraged OCR, NLP, and domain-specific ML models to extract structured data from unstructured text.
Integrated cross-domain analytics for real-time insights and compliance checks.
UX & System Integration
Designed a clean, intuitive UX for operators to configure, monitor, and validate document workflows.
Enabled seamless integration with existing enterprise systems, ensuring adoption without disrupting workflows.
Testing & Iteration
Achieved >95% accuracy via iterative training and validation cycles.
Fine-tuned models with user feedback and domain expert validations.
Conclusion
This project demonstrated how AI-driven automation and zero-code configurability can revolutionize document management. By combining speed, accuracy, and adaptability, the platform enabled enterprises to extract actionable insights from unstructured data at scale, while reducing cost and risk. The result was not just efficiency, but a step change in how organizations leverage documents as a source of intelligence. This case study showcases my ability to conceptualize, build, and scale AI-powered platforms that deliver measurable business impact.