How to build an AI side by side extension for Fieldglass

In this blog post, we’ll walk you through building a side-by-side extension that combines SAP BTP’s AI capabilities with Fieldglass to streamline external worker onboarding. Using a practical example, we demonstrate how to create an intelligent document validation system that automatically reviews content of worker documents (ID, criminal records, debt collection statements, and confidentiality agreements) against company guidelines. The AI-powered extension extracts key content from documents, validates it using large language models, and presents summarized findings to end users for final approval or rejection decisions. This approach with GenAI Hub to protect these sensitive information significantly reduces manual review time while ensuring compliance, with all decisions automatically documented back in Fieldglass for complete audit trails.

 

​ In this blog post, we’ll walk you through building a side-by-side extension that combines SAP BTP’s AI capabilities with Fieldglass to streamline external worker onboarding. Using a practical example, we demonstrate how to create an intelligent document validation system that automatically reviews content of worker documents (ID, criminal records, debt collection statements, and confidentiality agreements) against company guidelines. The AI-powered extension extracts key content from documents, validates it using large language models, and presents summarized findings to end users for final approval or rejection decisions. This approach with GenAI Hub to protect these sensitive information significantly reduces manual review time while ensuring compliance, with all decisions automatically documented back in Fieldglass for complete audit trails.   Read More Technology Blog Posts by SAP articles 

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