AI Output Evaluator (Procurement Domain)
I reviewed and evaluated AI-generated procurement outputs to ensure logical consistency, cost realism, and supplier feasibility. My work focused on validating AI models within procurement applications, identifying gaps in cost elements, supplier assumptions, and negotiation logic. This process involved providing structured, domain-specific feedback to AI engineers to improve procurement decision quality. • Assessed procurement-related AI outputs for realism and compliance • Identified missing cost factors or unrealistic supplier proposals in AI results • Analyzed negotiation strategies within AI-generated scenarios • Provided structured, documented feedback using Excel, SAP, and proprietary tools.