
What happened
At KDDI SUMMIT 2026, Altius Link said an in-house trade-document AI tool built with Mitsui & Co.'s logistics DX office cut internal work by 1,985 hours per year, and four business-side staff became able to build and maintain AI apps.
Why it matters
The result suggests the main obstacle to AI results is redesigning the work itself, not the AI's performance, since the tool was applied to document processing and staff learned to improve it themselves.
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The KDDI SUMMIT 2026 session described a gap between adopting generative AI and getting results from it. Altius Link's CDO cited a PwC Japan survey finding that 87% of companies are using or promoting generative AI, but only 10% achieved results far above expectations. Among the high-performing group, 81% had formally built generative AI into work procedures, compared with 14% of underperformers.
The Mitsui & Co. case showed how that gap was addressed in trade operations, where diverse documents, many internal and external parties, and country-specific rules add complexity. The logistics DX office began by taking ideas from the concept stage and turning them into AI-embedded apps for actual work, with Altius Link building early prototypes. The team organized differences in individual methods, tacit knowledge, and rare exceptions into work AI could handle, and designed a division of roles that does not ask AI to be 100% correct. AI drafts were paired with human checks, and improvements continued as work changed. Four staff with no prior IT tool development experience learned to build apps and embed AI, which the logistics DX office described as a human-development benefit as well.
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