Corteva's One-Person Start Built Enterprise AI Practice, Saving Over $150M

Small Team Big Scale podcast episode 47 interviewed Hoda Helmi, data science lead at agriculture giant Corteva Agriscience, on how she started from a one-person team and built an AI and decision science practice influencing major corporate decisions, reportedly saving the company over $150 million.

Confirmed

• Corteva is a $17.4 billion-revenue agribusiness with 21,500 employees across 110 countries; Helmi built its AI and decision science practice from scratch
• As relayed in the interview, the practice saved the company over $150 million
• Helmi proposed the concept of a "digital decision twin": dynamically modeling enterprise decisions, constraints, and future possibilities
• Her core methodology is "decision-first": start from concrete business decisions rather than data platforms or AI labs, creating value around the decision itself
• Per @rschmelzer's account, she used a "franchise" model to replicate the AI team's approach across more departments of the $17.4 billion giant

Why it matters

• The case shows a viable path for small (even single-person) teams to drive enterprise-scale AI decision transformation in large traditional companies
• The decision-first approach offers a pragmatic AI adoption reference for companies with weak data foundations or limited budgets
• The "digital decision twin" focuses AI modeling on decision scenarios rather than pure data asset building, and the franchise-style team replication is broadly transferable

2026-09-01 ~ 2026-09-02 · 6 related posts

• How a one-person team saved Corteva $150M with AI decision twins — rschmelzer · 2026-09-01
• [source] Corteva Case Study: Building a Digital Decision Twin That Saved $150M — rschmelzer · 2026-09-01
• Corteva Exec: Build AI starting with decisions, not data — rschmelzer · 2026-09-01
• [source] Corteva's one-person AI team saved $150M+ by starting with decisions, not data — rschmelzer · 2026-09-02

2 near-duplicate retellings: rschmelzer · rschmelzer