Geoson Solutions ^™

Over the past few weeks, my focus has shifted toward expanding the use of AI-driven solutions within the organization while continuing to advance the EzExpense platform. Much of this phase has centered around developing intelligent automation tools, improving data processing capabilities, and preparing several new solutions for production deployment.

A major area of work has involved Microsoft's AI Builder, specifically training and refining receipt processing models. This has included gathering and validating training data, improving recognition accuracy, and testing the models across a variety of document formats. The goal has been to ensure that receipt capture can reliably extract relevant information and integrate seamlessly into existing business processes. After extensive testing and refinement, these models are now approaching production readiness and will soon be available to support real-world operations.

Alongside AI Builder development, I have been working on AI agents designed to support internal business workflows. These agents are being integrated into company processes to help automate repetitive tasks, assist users with data retrieval, and streamline operational procedures. Building these solutions has required careful consideration of how AI interacts with existing systems, ensuring responses remain accurate, reliable, and aligned with business requirements.

Another significant milestone during this period has been the continued development and finalization of the EzExpense Essentials application. Much of the recent effort has focused on refining features, improving stability, addressing edge cases, and ensuring the platform is ready for broader adoption. Testing and validation have played a critical role in this stage, helping identify areas for improvement and ensuring a smooth user experience.

With the Essentials platform nearing completion, attention is beginning to shift toward the next phase of development: the EzExpense Pro application. This upcoming stage introduces new opportunities to expand functionality and deliver more advanced capabilities to users. One of the most exciting aspects of this work will be the integration of Enterprise Resource Planning (ERP) systems, allowing business data to flow more efficiently between applications and reducing manual processes.

As development progresses, the combination of AI-powered automation, intelligent document processing, and ERP integration represents an important step forward for the platform. These technologies will help create more connected, efficient, and scalable business solutions while providing users with a more streamlined experience.

This period has provided valuable experience in applied AI development, enterprise application design, and system integration. Moving forward, the focus will remain on delivering production-ready solutions, expanding automation capabilities, and continuing to build tools that create meaningful value for both internal teams and end users.