Diana Dai · AI Product Leader

I build AI products that turn complex decisions into trustworthy workflows.

Product strategy, agentic systems, evaluation, and human decision support — across regulated operations and consumer marketplaces.

CPA · FINTECH / TAX · MARKETPLACES · APPLIED AI

Messy context → Trustworthy reasoning → Clear action → Accountable human control

The shared product pattern

A reusable pattern for trustworthy AI decision workflows.

ClaimGround demonstrates this pattern in regulated healthcare. One explores it in a consumer marketplace. They share a product thesis, not identical underlying architectures.

  1. Context / Evidence
  2. Deterministic state and checks
  3. Relevant retrieval
  4. AI interpretation / reasoning
  5. Recommended or prepared action
  6. Human decision / approval
  7. State update

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

Cohere Wedding

ML-Powered Wedding Inspiration Marketplace

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
Cohere Wedding visual inspiration feed
Cohere Wedding vendor discovery results

Selected experience

MainStreet

Lead Product Manager · 2021–2024

FinTech · Tax · Regulated workflows · AI / Automation

Led end-to-end tax-credit workflows from discovery through application and redemption, combining customer-facing product, operational systems, and automation.

Cohere Wedding

Co-founder & Lead Product Manager · 2018–2021

Marketplace · ML · 0→1 · Growth

Deloitte

Sr. Product Owner / Consultant · 2017–2018

Tax · Enterprise Workflow Automation