#Japan #Generative AI #Tokyo #Organizational Behavior #Trust Building

Transforming Work with Generative AI

In an era where speed and precision have dominated workplace expectations, a growing sense of dissatisfaction has emerged among professionals. "Why am I not recognized despite my quick outputs?" or "Why do I not receive gratitude for meticulous work?" These sentiments reflect deeper organizational challenges, particularly in how trust and the meaning of work are shared across cultures.

In response, Request Inc. (headquartered in Shinjuku, Tokyo), led by CEO Tomoyasu Kohata, has unveiled a groundbreaking proposal titled, "Fostering Meaningful Work with Generative AI: A Trust-Building Framework for Sustainable Business Relationships", set for publication on April 23, 2025. This proposal explores the intricate interplay between generative AI and the cultivation of trust in the workplace.

The Essence of AI: Responding to Questions

Generative AI is fundamentally adaptable; its behavior shifts dramatically based on the quality of the questions posed.

• - Surface-Level Questions yield Superficial Responses.
• - In-Depth Questions prompt perspectives that challenge conventional thinking.

Thus, the essence of what AI can produce correlates closely with the depth of human inquiry. Rather than asking, "How do we utilize generative AI?" organizations should reconsider, "What kinds of questions can we pursue?"

Key Takeaways from the Proposal

1. Structuring Interpersonal Trust: This proposal emphasizes the importance of transforming individual trust behaviors into replicable structures accessible to all within an organization.
2. AI as a Partner in Co-Creation: Instead of viewing generative AI purely as a tool for efficiency, it should be considered a collaborative partner that nurtures meaning and trust.
3. Trust-Driven Cultural Framework: The proposal introduces a 'Trust Ripple Structure', which connects questions, actions, and trust, along with a framework for assessing the maturity of these questions.
4. Practical Implementation: It outlines methodologies to visualize and implement meaningful actions across various spheres, such as sales, training, and evaluation systems.

Why This Proposal Now?

In today’s competitive landscape, a company’s sustainability isn’t solely dependent on product strength or pricing strategy, but rather on its reputation as a trusted organization. However, trust cannot be maintained through personalized, random acts alone. A systemic structure is necessary to ensure that meaningful actions can be replicated and embedded within the organizational culture.

With the emergence of generative AI, we are now able to pivot from mere processing tasks to engaging in thoughtful inquiry. This proposal illustrates how to leverage AI’s potential in deepening questions and preserving trust through collaborative efforts.

Structure of the Proposal

• - What Happens When Actions Lack Meaning? This section investigates the ramifications in organizations that fail to recognize the significance of behaviors.
• - Structuring Interpersonal Trust: Here, we analyze the components that constitute personalized trust behaviors and how to reproduce them organizationally.
• - Connecting Questions, Actions, and Trust: Explore how improvements in questioning can facilitate a broader culture of goodness.
• - Employing AI for Thought and Goodness: Re-envisioning how AI can enhance the depth of inquiries and support our ethical values.
• - Implementation Models: Finally, practical phases and models, including partnering with Human Capital Development Experts, will be discussed.

Recommended Readers and Target Companies

• - Organizations dependent on personalized service or customer relations seeking to instill structured responses to inquiries.
• - Companies striving to enhance 'thoughtful engagement' as a core organizational value.
• - Business leaders interested in extending generative AI beyond operational efficiencies to enhance trust and cultural development.
• - HR and training departments looking to incorporate 'invisible virtues' into their development and evaluation frameworks.

Download the Proposal

The extensive proposal, "Fostering Meaningful Work with Generative AI", is available for download in PDF format. This document provides an in-depth analysis and actionable insights for organizations poised to embrace this new paradigm.
Download Link

About Request Inc.
Request Inc. aims to inspire better behaviors through the lens of Organizational Behavior Science, collaborating with five research entities to analyze human actions and thoughts derived from data involving over 336,000 individuals across Japan. To date, we have assisted over 930 organizations in enhancing their human capital development.

Contact Information
Request Inc.
Human Capital Development XR HRD® Team
E-mail: [email protected]

Company Overview

• - Name: Request Inc.
• - Location: 3-4-8 Shinjuku, Shinjuku-ku, Tokyo, 160-0022
• - CEO: Tomoyasu Kohata
• - Services: Organizational Development, Talent Development, AI Support, etc.
• - Core Brand: Organizational Behavior Science®

Explore more at our Corporate Site and learn about our vision here. Download our company brochure here.