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Kuaishou establishes enterprise AI productivity organization iWork

1 reports1 story updatesUpdated Oct 22 19:39

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Kuaishou has established the "Enterprise AI Productivity" (iWork) organization. According to a Phoenix Technology report on October 22, 2026, Wang Xu, Vice President of Enterprise AI Productivity at Kuaishou, mentioned during a review of the company's two-year practice at the QECon conference that Kuaishou established this organization in September this year to consolidate scattered AI practices into company-level capabilities. The report also stated that in early 2025, Kuaishou started from R&D scenarios with a "CTO efficiency" mechanism, and in the second quarter of 2026 transformed the coding assistant CodeFlicker into the general-purpose agent MyFlicker, with an internal weekly active penetration rate of about 70%; since April, the team has completed more than 2,000 tasks cumulatively, with an AI first-task success rate exceeding 60%, and 80% of tasks can be completed within two attempts. Currently, the information on the establishment of this organization comes from the above-mentioned conference review report.

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Kuaishou Breaks Down the Enterprise AI Productivity Practice Path: From R&D Efficiency Gains to the iWork Organization

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  1. Kuaishou establishes enterprise AI productivity organization iWork

    Source:Phoenix Technology

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Oct 22

  1. Phoenix Technology

    Kuaishou Breaks Down the Enterprise AI Productivity Practice Path: From R&D Efficiency Gains to the iWork Organization

    Wang Xu, Vice President of Enterprise AI Productivity at Kuaishou, reviewed Kuaishou's two-year practice at the QECon conference: in early 2025, it started from R&D scenarios under the "CTO Efficiency" mechanism; in the second quarter of 2026, it will transform the coding assistant CodeFlicker into the general-purpose Agent MyFlicker, with an internal weekly active penetration rate of about 70%. In September this year, Kuaishou established the "Enterprise AI Productivity" (iWork) organization to consolidate scattered AI practices into company-level capabilities. Since April, the team has completed more than 2,000 tasks in total, with an AI first-task success rate of over 60%, and 80% of tasks can be completed within two attempts.

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