E-Business Launches 'Enterprise AIDD Solution' for AI-Driven Development

E-Business Co., Ltd. (hereafter E-Business) has launched its 'Enterprise AIDD Solution' for corporate AI-driven development.

This solution is designed not merely as a tool for individual productivity, but as an operational foundation that integrates people, AI agents, deliverables, decision histories, and approval processes under a single operational framework. Centered on the knowledge foundation service 'eBase' and the AIDD execution engine 'Light Forge,' the service provides comprehensive support from implementation and organizational operation to continuous improvement, while maintaining business context across all phases of development.

## Challenges in AI-Driven Development (AIDD) at Enterprise Sites

While the utilization of generative AI and AI agent-based tools is expanding rapidly, many companies still treat AI as a secondary tool for individual use rather than organizational utilization integrated into business processes.

As a result, it is difficult to grasp the entire process, including what AI refers to, what decisions it influences, where human confirmation takes place, and under what conditions approval is granted, making it difficult to scale into organizational operation.

What is truly needed in IT development in Japan is not simply increasing the number of AI users, but building a structure that can collectively manage and continuously operate processes such as people, AI agents, deliverables, and approvals.

## The Essence of AIDD: Leveraging AI in Upstream and Super-Upstream Processes

Companies today expect more from AI than just efficient code generation. There is increasing importance on upstream and super-upstream support—such as understanding current status, clarifying RFPs, organizing requirements, structuring issues, analyzing impact, and supporting design decisions—which significantly affect subsequent processes.

In Japanese companies, critical knowledge is dispersed across various documents, including design documents, specifications, meeting records, review histories, operational records, application documents, and revision histories. AIDD structures these to create a knowledge foundation that AI can utilize for business judgments. Furthermore, continuously developing skills for upstream tasks is a prerequisite for AIDD implementation.

Based on this premise, E-Business supports the implementation and operation of enterprise-grade AIDD by combining the knowledge foundation service 'eBase' with the AIDD execution engine 'Light Forge.'

EBase organizes various documents into a knowledge foundation that serves as the prerequisite for AI utilization, while Light Forge manages people, AI agents, and deliverables in an integrated manner, supporting execution, operation, and improvement. Through their collaboration, organization-wide AIDD goes beyond individual use.

## Solving Customer Challenges

This solution features a consistent approach to customer issues—addressing 'what needs to be prepared, how to operate it, and what value it leads to'—rather than simply listing features. The following four represent key challenges:

- Challenge 1: Scattered knowledge prevents AI from understanding business context.
Approach: Use eBase to structure documents, code, and history into a knowledge service (Knowledge Graph/Ontology/MCP) that AI can easily reference.
- Challenge 2: AI utilization depends on individuals, making it difficult to embed as an organizational capability.
Approach: Use Light Forge to manage skills, rules, templates, agent definitions, and execution conditions as organizational assets.
- Challenge 3: AI agents are not managed as formal project participants.
Approach: Use Light Forge to integrate task allocation, workflow design, deliverable state management, and approval gates.
- Challenge 4: Projects stall after the PoC stage without continuous improvement.
Approach: Feed review results, decision histories, and failure patterns back into the knowledge foundation and assets to continuously update skills and knowledge.

## Core Functions of the Enterprise AIDD Solution

- Knowledge Foundation for AI: Structuring existing assets and converting corporate knowledge into an operational base.
- Integrated Execution of Agents/Workflows: Managing roles, deliverables, and progress between humans and AI agents.
- Standardization of Assets and Rules: Shifting from individual dependency to organizational operation.
- Visualization, Monitoring, and Improvement: Supporting quality and explainability through logs and feedback loops.

## Key Implementation Scenarios

- Modernization of legacy systems and system modification projects.
- Understanding the status quo before requirements definition and basic design.
- Development involving multiple departments and vendors.
- Quality, traceability, and high-accountability projects (finance, public, core systems).

## Expected Benefits

- Improved upstream precision: Enhanced accuracy in requirements definition, reducing rework.
- Shift to organizational operation: Building reproducible operational models.
- Ensuring explainability: Increased visibility for adoption decisions.
- Long-term capability formation: Accumulation of organizational capabilities beyond PoC.