Incerto Launches Claude Code Corporate Training Program: Moving from 'Buying Tools' for AI Adoption to Fostering AI Native Talent Capable of Mastering Claude Code in Business Operations
Incerto LLC has launched a corporate training program to foster AI Native talent within companies, utilizing Anthropic's AI assistant 'Claude Code.' The program aims to move beyond mere tool implementation, starting with key personnel to develop AI into a 'collaborator that understands business context.'
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- 📰 Published: May 9, 2026 at 08:50
- 🔍 Collected: May 9, 2026 at 00:02
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Incerto LLC (Headquarters: Arakawa-ku, Tokyo; Representative: Aito Sato; https://www.incerto.tech/) today announced the launch of its Claude Code Corporate Training Program. This program aims to integrate Anthropic's AI coding and business support assistant, 'Claude Code,' as a business foundation within companies and teams, fostering 'AI Native talent' internally who can effectively utilize it in the target company's operations.
This initiative pushes corporate AI utilization beyond the concept of merely 'buying/introducing tools.' It begins by cultivating one key individual (manager, executive, department head, or critical personnel) as the first AI Native talent. Through the design of CLAUDE.md (project rules), Skills (commands to invoke tasks), Hooks, Subagents, and MCP integration (referencing internal knowledge), the program creates a state where AI functions as a 'collaborator that understands the company's operations.' This ensures that conceived measures can be implemented on the spot, allowing humans to concentrate on essential tasks such as judgment, prioritization, and new inquiries, forming an organization that seamlessly integrates training, operational embedding, and follow-up on the latest information for sustained adoption.
■ Features of this Program
Fostering AI Native talent capable of mastering Claude Code within the target company's operations:
This program aims to cultivate personnel who can fully utilize AI in their work, rather than just providing tool implementation support. It works alongside participants during training and parallel implementation to design CLAUDE.md, Skills, Hooks, Subagents, MCP integration, embed operations, and delineate roles between AI and humans.
AI becomes a 'context-aware collaborator,' allowing humans to concentrate on essential work:
By continuously accumulating the company's business context within the AI, AI transforms from an entity that needs constant inquiries into a true collaborator. This creates a state where humans can focus on essential tasks such such as judgment, prioritization, new inquiries, external relations, and building culture and trust.
Phased expansion starting with one key individual in the business:
Instead of a simultaneous rollout to all employees, the program begins by fostering one central figure in the target company's operations as the first AI Native talent, then gradually expands to adjacent tasks and team members.
Integrated support provided, including operational embedding and follow-up on the latest information, not just ending with training:
Claude Code itself, Claude API, related MCP servers, and peripheral tools are updated monthly. Incerto takes over the task of catching up with the latest trends and continuously proposes updates that should be applied to your company's operations through regular reviews.
Individualized design based on the target company's business content, job structure, and existing systems.
■ Background of Provision
Corporate AI utilization has rapidly expanded over the past one to two years. Many organizations have adopted AI tools in various forms, such as allowing employees to use general-purpose AI chat, building in-house RAG, or contracting AI-equipped SaaS. However, many executives and promotion managers are still struggling to fully grasp how effectively these initiatives are being utilized in daily operations and whether they are genuinely bringing about changes in the actual volume or quality of work for the organization.
Simply having tools is not enough for AI to be integrated and utilized effectively in the field. While answers may remain in individual employees' chat histories, proprietary internal business knowledge, rules, and know-how are not accumulated within the AI, and there is no mechanism for the organization to share and inherit excellent usage methods discovered by individuals. Every time AI is invoked, the premise needs to be re-explained, preventing AI from becoming a 'collaborator that understands the company's operations.' The primary objective of this program is not just tool implementation support, but to foster AI Native talent within the target company who can truly master Claude Code in their daily work.
■ Changes an AI Native Talent Brings to an Organization
This program is designed so that when AI Native talent is nurtured within an organization, the following two changes occur:
AI becomes a 'context-aware collaborator'
With general-purpose AI chat, instructions and premise sharing are required from scratch each time, and proprietary internal business knowledge is not accumulated on the AI side. AI Native talent designs CLAUDE.md (project rules), Skills (commands to invoke tasks), Hooks, Subagents, and MCP integration (referencing internal knowledge) to continuously accumulate the company's business context on the AI side. AI transforms from an 'on-demand inquiry partner' to a 'collaborator that understands the company's operations,' and knowledge confined to individual employee chat histories becomes an asset of the organization.
The distance between thought and implementation
This initiative pushes corporate AI utilization beyond the concept of merely 'buying/introducing tools.' It begins by cultivating one key individual (manager, executive, department head, or critical personnel) as the first AI Native talent. Through the design of CLAUDE.md (project rules), Skills (commands to invoke tasks), Hooks, Subagents, and MCP integration (referencing internal knowledge), the program creates a state where AI functions as a 'collaborator that understands the company's operations.' This ensures that conceived measures can be implemented on the spot, allowing humans to concentrate on essential tasks such as judgment, prioritization, and new inquiries, forming an organization that seamlessly integrates training, operational embedding, and follow-up on the latest information for sustained adoption.
■ Features of this Program
Fostering AI Native talent capable of mastering Claude Code within the target company's operations:
This program aims to cultivate personnel who can fully utilize AI in their work, rather than just providing tool implementation support. It works alongside participants during training and parallel implementation to design CLAUDE.md, Skills, Hooks, Subagents, MCP integration, embed operations, and delineate roles between AI and humans.
AI becomes a 'context-aware collaborator,' allowing humans to concentrate on essential work:
By continuously accumulating the company's business context within the AI, AI transforms from an entity that needs constant inquiries into a true collaborator. This creates a state where humans can focus on essential tasks such such as judgment, prioritization, new inquiries, external relations, and building culture and trust.
Phased expansion starting with one key individual in the business:
Instead of a simultaneous rollout to all employees, the program begins by fostering one central figure in the target company's operations as the first AI Native talent, then gradually expands to adjacent tasks and team members.
Integrated support provided, including operational embedding and follow-up on the latest information, not just ending with training:
Claude Code itself, Claude API, related MCP servers, and peripheral tools are updated monthly. Incerto takes over the task of catching up with the latest trends and continuously proposes updates that should be applied to your company's operations through regular reviews.
Individualized design based on the target company's business content, job structure, and existing systems.
■ Background of Provision
Corporate AI utilization has rapidly expanded over the past one to two years. Many organizations have adopted AI tools in various forms, such as allowing employees to use general-purpose AI chat, building in-house RAG, or contracting AI-equipped SaaS. However, many executives and promotion managers are still struggling to fully grasp how effectively these initiatives are being utilized in daily operations and whether they are genuinely bringing about changes in the actual volume or quality of work for the organization.
Simply having tools is not enough for AI to be integrated and utilized effectively in the field. While answers may remain in individual employees' chat histories, proprietary internal business knowledge, rules, and know-how are not accumulated within the AI, and there is no mechanism for the organization to share and inherit excellent usage methods discovered by individuals. Every time AI is invoked, the premise needs to be re-explained, preventing AI from becoming a 'collaborator that understands the company's operations.' The primary objective of this program is not just tool implementation support, but to foster AI Native talent within the target company who can truly master Claude Code in their daily work.
■ Changes an AI Native Talent Brings to an Organization
This program is designed so that when AI Native talent is nurtured within an organization, the following two changes occur:
AI becomes a 'context-aware collaborator'
With general-purpose AI chat, instructions and premise sharing are required from scratch each time, and proprietary internal business knowledge is not accumulated on the AI side. AI Native talent designs CLAUDE.md (project rules), Skills (commands to invoke tasks), Hooks, Subagents, and MCP integration (referencing internal knowledge) to continuously accumulate the company's business context on the AI side. AI transforms from an 'on-demand inquiry partner' to a 'collaborator that understands the company's operations,' and knowledge confined to individual employee chat histories becomes an asset of the organization.
The distance between thought and implementation