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Hanamaruki cuts 20,000 work hours yearly with Gemini

Hanamaruki cuts 20,000 work hours yearly with Gemini

Key takeaway

  • Hanamaruki rolled out Google Gemini across the company with only three IT staff.

  • The initiative achieved over 86% adoption and saved 20,000 work hours yearly.

  • The company used a gradual approach, starting with a small group.

3 Key Points

  1. What happened

    Hanamaruki, a food maker with a three-person IT department, achieved over 86% adoption of Google Gemini and cut 20,000 work hours annually.

  2. Why it matters

    The company's '3 Ks' approach—rules, sharing, and support—helped overcome limited IT resources, starting with 25 licenses for executives and 11 volunteer AI supporters before expanding company-wide.

  3. What to watch

    The rollout began with guidelines in January 2024 and a small pilot in June 2024, showing that gradual, top-down and bottom-up combined adoption can drive usage among non-technical staff.

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Context & Analysis

Hanamaruki's success shows that limited IT resources need not block generative AI adoption. The company's approach emphasized gradual rollout, starting with a small group of motivated users rather than forcing company-wide use initially. The AI supporters played a key role in fostering organic knowledge sharing, which helped build confidence among employees. The top-down encouragement from the president, who personally used the tools, combined with bottom-up peer support, created an environment where staff felt safe to integrate AI into their daily work. This case suggests that for traditional manufacturers, a phased, human-centric adoption strategy may be more effective than a big-bang implementation.

FAQ

What were the '3 Ks' in Hanamaruki's strategy?
The '3 Ks' were guidelines (規定), sharing (共有), and support. They started with usage guidelines in January 2024, then shared licenses among a pilot group before expanding.
How did Hanamaruki initially deploy Gemini?
They bought 25 licenses in June 2024 as part of Google Workspace, giving them to executives and 11 volunteer AI supporters to start small and build internal champions.
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