【AI Replicates Executive Judgment】Exa Completes Generative AI Pilot Project with AgriMind, Building 'Digimaki-san' to Assetize Tacit Knowledge

Exa Corporation has completed a pilot project with agricultural firm AgriMind, utilizing generative AI to transform the executive's 'tacit knowledge' into a shared organizational asset, supporting autonomous operational improvements.
techNQ 55/100出典:PR Times

📋 Article Processing Timeline

  • 📰 Published: May 27, 2026 at 10:00
  • 🔍 Collected: May 31, 2026 at 22:57 (108h 57m after Published)
  • 🤖 AI Analyzed: June 2, 2026 at 05:19 (30h 22m after Collected)
On May 27, 2026, Exa Corporation announced the completion of a pilot project in collaboration with AgriMind, an agricultural corporation based in Hokuto City, Yamanashi Prefecture. The project focused on leveraging generative AI to convert the executive's 'tacit knowledge' into a shared organizational asset, thereby supporting autonomous operational improvements in the field. Unlike standard system implementations, Exa employees spent approximately three months deeply embedded in AgriMind's operations. By experiencing the workplace atmosphere and the executive's philosophy firsthand, the developers designed a user experience (UX) that allowed the AI to seamlessly integrate into daily business operations. The project addressed the common challenge of ensuring generative AI becomes truly embedded in actual work processes. Exa built 'Digimaki-san,' a virtual representative that shares the executive's insights. Designed as an extension of daily communication, the AI serves as a sounding board for staff, helping them clarify policies when faced with difficult decisions. Furthermore, Exa conducted weekly AI skill-sharing sessions, providing tailored support for individual operational challenges. This led to tangible business results, such as a direct sales staff member consulting the AI on how to sell non-standard strawberries, resulting in a successful 'box sale' strategy. AgriMind Representative Koji Fujimaki noted, 'The AI is not a substitute for me, but a sounding board to prevent oversight and improve judgment accuracy. The goal was to create a reproducible structure where anyone can achieve the same results.' Exa plans to expand this know-how beyond agriculture to industries such as finance and manufacturing.

FAQ

Is this AI model applicable to Taiwan's agricultural sector?

Yes, it is highly effective for addressing the challenge of 'transferring tacit knowledge' faced by many small-scale farmers and agricultural enterprises in Taiwan.