AI Product Scorecard
Built a leadership scorecard that connects AI adoption, model spend, infrastructure cost, and modeled value so leaders can decide where to invest.
Compare the options. Measure quality and cost. Build the business case before the commitment.
Compare providers against the same tasks and evidence. Separate measured spend from projected savings, and include integration and operating costs in the decision.
Built a leadership scorecard that connects AI adoption, model spend, infrastructure cost, and modeled value so leaders can decide where to invest.
Built a specialist AI assistant across 40,000+ ServiceNow documentation pages and cut per-request cost from about $2.19 to $0.04–$0.06.
CPU-optimized semantic clustering engine achieving ~34% token reduction for RAG pipelines via SimHash and graph clustering.