Case Study: Automated Form Submission Workflow
Client: Leading Canadian Non-Profit / Public Sector Organization (Confidential)
Project Type: Secure Digital Form Automation System
Tools Used: Java (Spring Boot), Python (ReportLab, PyPDF2), PostgreSQL, AWS (EC2, RDS, S3, Lambda), PDF.js
Services: Workflow Automation, PDF Integration, RBAC, Secure Infrastructure
Sector: Government, Non-Profit, Forms Management
About the Client
A Canada-based organization working with multiple partner teams across regions. The client relied on manual PDF workflows that led to inefficiencies and data errors. The goal was to digitize and centralize this critical form submission system with layered access.
The Challenge
Replace manual form workflows with digital, fillable PDFs
Pre-fill forms with partial historical data
Enable role-based access for partner teams and admins
Store structured data centrally and archive filled PDFs both locally and on the cloud
Ensure enterprise-grade security, auditability, and scalability
Our Solution
Built a responsive, role-based web interface for users and admins
Used PDF.js for in-browser preview and filling
Employed Python tools to generate, pre-populate, and validate PDF forms
Backend microservices (Java) managed user sessions, submissions, and permissions
Deployed PostgreSQL for data storage and AWS S3 + local client agents for PDF archival
Implementation Highlights
JWT authentication and full RBAC system for user isolation
RESTful APIs for template and form lifecycle management
AWS Lambda for email alerts and archive automation
Monitoring stack with CloudWatch and ELK for visibility and alerts
Local Python agents to save a copy of each submitted PDF securely on client systems
Demonstrated Expertise
Seamless integration of Java and Python for document workflows
Strong architectural control using microservices and AWS infrastructure
Robust PDF rendering and manipulation using PDF.js and PyPDF2
End-to-end security via JWT, access logs, and AWS CloudTrail
Scalable multi-org system supporting centralized control with decentralized access
Reduced manual workload by over 60%
Increased data accuracy and reduced processing time
Ready to Solve Similar Challenges?
Let’s talk. Reach out to us on support@klaymatrix.com
Take our datasKore evalution to check inhouse data-readiness: