Community Launch and Management

We provide hands-on support from launch to continuous operation of participatory communities that promote and embed generative AI usage throughout companies.

Phase:
  • Adoption, Integration, and Utilization
Community Launch and Management

Issues in Community Building

  1. Issue 01 Fragmented Internal AI Knowledge

    Insights and utilization cases related to AI remain siloed within individuals, preventing them from becoming shared organizational assets.

  2. Issue 02 Lack of Cross-Departmental Collaboration

    AI usage is isolated within departments, making its application highly individual-dependent.

  3. Issue 03 Absence of a User Community

    No internal forum exists for employees to casually exchange AI-related knowledge or seek help, limiting the formation of collective intelligence.

Features

  1. Features 1

    Support for Creating a Knowledge-Sharing Culture

    We promote a company culture of sharing success stories and know-how.

    Support for Creating a Knowledge-Sharing Culture
  2. Features 2

    Design of Cross-Functional Collaboration Frameworks

    We develop frameworks for visualizing cross-departmental use cases and encouraging interdepartmental interaction.

    Design of Cross-Functional Collaboration Frameworks
  3. Features 3

    Building AI User Communities

    We establish communities where AI users can learn from one another.

    Building AI User Communities

Support Process

  1. step 1

    Organizational Traits Analysis

    Analyze employee characteristics and motivation types specific to each company.

  2. step 2

    Definition of Ideal Community Type

    Design the ideal community model and operational framework based on organizational traits.

  3. step 3

    Facilitate AI User Engagement and Entrench an AI Utilization Culture

    Implement initiatives to facilitate AI user engagement, establish an accessible environment for AI, and cultivate a culture of AI utilization.

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