Regulated AI decision workflow
ClaimGround
Evidence, deterministic checks, retrieval, AI reasoning, and human review for healthcare denial resolution.
Applied AI workbench · synthetic cases

Diana Dai · AI Product Leader
Product strategy, agentic systems, evaluation, and human decision support — across regulated operations and consumer marketplaces.
Messy context → Trustworthy reasoning → Clear action → Accountable human control
Regulated AI decision workflow
Evidence, deterministic checks, retrieval, AI reasoning, and human review for healthcare denial resolution.
Applied AI workbench · synthetic cases

AI evaluation / Model economics
A practical tool for comparing AI models across capability, cost, latency, and reasoning effort — helping builders decide which model fits a specific workload.
Independent product · transparent decision framework

Consumer AI planning agent
Persistent context, prioritization, cross-wedding reasoning, and human-approved action for connected wedding decisions.
Independent concept · synthetic data
The shared product pattern
ClaimGround demonstrates this pattern in regulated healthcare. One explores it in a consumer marketplace. They share a product thesis, not identical underlying architectures.
One illustrates retrieval and AI reasoning through synthetic records and rules; its frontend prototype is not connected to a live model or retrieval system.
Marketplace / ML / Zero-to-one foundation
Built a two-sided marketplace around ML-powered visual discovery and network-driven vendor onboarding—grounding my work in wedding-domain knowledge and zero-to-one execution.
View Case Study

Lead Product Manager · 2021–2024
Led end-to-end tax-credit workflows from discovery through application and redemption, combining customer-facing product, operational systems, and automation.
Co-founder & Lead Product Manager · 2018–2021
Sr. Product Owner / Consultant · 2017–2018