Jitera Launches 'AI Enablement', an AI Autonomy Support Centered on Its Proprietary AI Agent

Jitera Inc., provider of the AI context platform 'Jitera', has launched a new service called 'AI Enablement', which comprehensively supports companies from AI strategy design to workplace adoption and insourcing.
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📋 Article Processing Timeline

  • 📰 Published: April 2, 2026 at 20:00
  • 🔍 Collected: April 2, 2026 at 14:00
  • 🤖 AI Analyzed: April 21, 2026 at 06:25 (448h 24m after Collected)
Jitera Inc. (CEO: Nao Yanagisawa, hereinafter 'the Company'), provider of the AI context platform 'Jitera', has started offering a new service, 'AI Enablement', which supports everything from AI strategy design to workplace adoption and insourcing.

Centered around our proprietary AI agent, 'Jitera', this service resolves the issue companies face where 'AI is introduced but not fully utilized' by supporting organizational autonomy across three areas: business process reform, development efficiency, and system modernization.

Background of the Launch
While the number of companies working on AI utilization is increasing year by year, there are many cases where the introduced AI tools do not take root in the workplace and fail to lead to productivity improvements or business growth.
Through our past support, the Company has deepened its recognition that to maximize the value of AI, it is essential to take a comprehensive approach—not just introducing tools, but redesigning business processes, training personnel, and building an autonomous organization.

Overview of the 3 'AI Enablement' Services

1. Business AI Autonomy
Target: Corporate Planning, DX Promotion Office, Business Departments
Consistent support from designing AI strategy to embedding it into business flows and ensuring workplace adoption. Regardless of sales, CS, or back-office roles, it brings about a transformation into an organization where the front line uses AI autonomously.

2. Development AI Autonomy
Target: CTO, VPoE, Development Departments
Support from the introduction of AI coding to test automation. By accumulating technical assets and know-how internally, it realizes a self-driving development organization that breaks away from external dependence.

3. AI Modernization
Target: CIO, Information System Departments, Companies with Legacy Systems
The AI agent 'Jitera' analyzes source code and automatically generates documents such as design specifications and ER diagrams. By visualizing black-boxed legacy assets and streamlining specification understanding, impact research, redesign, and modification, it supports the transition to a modern development and operational structure that minimizes person-dependency.

Common Support Process
Step 1 Problem Organization & Policy Design: Current state diagnosis, identification of AI utilization areas, and roadmap formulation.