Graat Launches EBAAD: Transforming Organizational Competence with AI

Graat's EBAAD Service

Graat, a subsidiary of Growth Partners Co., has launched an AI agent design service named EBAAD (Enterprise Business AI Agent Design) aimed at supporting the digital transformation (DX) of enterprise businesses. This innovative consulting service incorporates the expertise and decision-making abilities of seasoned professionals into business processes through the effective use of AI.

Bridging Individual and Organizational AI Utilization

In recent years, many companies have started adopting generative AI, and while individual efficiency is being observed at the personal level, there is a growing challenge: AI utilization remains confined to certain individuals and is not effectively boosting overall organizational productivity. Often, complex workflows and legacy systems rely heavily on the experience and judgment of skilled human resources, leaving organizations exposed to risk as knowledge transfer and quality standardization falters.

Graat identified that many organizations fail to redesign their business practices to continuously integrate AI effectively. Simple adoption of AI won’t lead to transformation; businesses must embed it into their workflows and role distributions to utilize organizational assets effectively.

In response to these challenges, Graat is rolling out its EBAAD consulting service, which involves redesigning workflows around AI and ensuring the know-how of experienced professionals is catalyzed into organizational level knowledge.

Overview of EBAAD

EBAAD is designed to thoughtfully organize the decision-making aspects and approaches of core personnel engaged in operations. Unlike services focused solely on AI agent development, EBAAD emphasizes restructuring workflows with AI integration and ensuring thorough utilization of AI for tangible results. The focus is on increasing productivity across the organization, reducing reliance on individuals, standardizing quality, and enhancing workforce training through continuous improvement.

The EBAAD process unfolds over three months and involves several key steps:

1. Understanding AI Agent and LLM Characteristics

During this phase, teams will gain insights into the characteristics of AI agents and LLMs, determining what responsibilities should be delegated to AI and how it can function effectively within the organization.

2. Visualizing Business through Service Design

Current operations will be mapped out through the lens of service design, highlighting stakeholders, workflows, decision points, and areas of individual reliance. This visualization helps clarify existing operational challenges.

3. Redesigning Workflows with AI in Mind

Based on the visualized data, a new workflow will be established that clearly defines the roles of AI, existing IT systems, and human resources, ensuring continuous AI functionality.

4. Transferring Knowledge to AI

The insights and judgment frameworks of experienced and core personnel will be encoded into the AI, enabling previously individualized knowledge to be transformed into reusable organizational wisdom.

5. Validation and Improvement through Practical Trials

Practical trials will be conducted in collaboration with operational members to test whether the AI can function as intended. This feedback loop enables dynamic adjustments while building a foundation for successful AI utilization.

Key Features of the EBAAD Service

1. Focus on Sustaining Individual Knowledge: Unlike typical AI utilization support that emphasizes tool adoption and efficiency enhancements, Graat prioritizes a business design that allows for the continuous application of expert judgment and expertise across the organization. This transforms previously isolated knowledge into a collective asset.

2. Service Design as a Launchpad for AI Integration: Graat starts by organizing current workflows from a service design perspective before determining how AI can effectively contribute, ensuring a coherent structure where AI can thrive.

3. Transitioning from Concepts to Practical Applications: Rather than stopping at theoretical designs or temporary proofs of concept, Graat collaborates with workplaces through workshops and practical trials that verify and refine AI assistance effectiveness in real-world settings, ensuring comprehensive integration into operational success.

Areas of Anticipated Application

EBAAD is particularly beneficial in sectors heavily dependent on the judgment of experts or veteran employees, or where legacy systems are still in use. It will find use in project planning, case advancement, roles involving review and decision-making, inter-departmental coordination, and other areas where simple automation isn't sufficient and where a high degree of judgment and knowledge utilization is required.

Looking Ahead

Having previously supported enterprises in their DX journeys through service design and agile management, Graat is poised to shift the paradigm of AI beyond a mere efficiency tool. The goal is to catalyze organizational transformation through knowledge retention and enhanced capabilities. Graat aims to connect 'organizations' and 'teams' as a partner in creating infrastructure that promotes DX, thereby driving business transformation, organizational strength enhancement, and sustainable value creation in the age of AI.