Givery, Inc. has launched the 'AI-Native Company Transformation Program' for companies promoting the enterprise-wide deployment of generative AI tools, including Claude Code.
The program systematically supports five phases, from identifying and training transformation talent to business process restructuring and governance setup, ensuring that AI deployment goes beyond merely 'distributing tools' to achieve real business, organizational, and outcome-driven transformation.
Background of the 'AI-Native Company Transformation Program'
An increasing number of companies are deciding to adopt generative AI tools like Claude Code, Microsoft Copilot, and Google Gemini company-wide. Following tech ventures, major manufacturers and system integrators are now seriously committed to 'AI-native' operations, as declared by their CEOs.
However, field operations are facing three major barriers:
1. Difficulty in forecasting and managing AI usage costs Due to usage-based billing models that add to per-user base fees, costs often spiral beyond expectations after company-wide deployment. Issues like 'Tokenmaxxing'—where usage is concentrated among a few heavy users, inflating total costs—have emerged, making budget forecasting difficult.
2. Security and governance struggle to keep pace with AI agent expansion Security risks are expanding rapidly with the use of unreliable third-party MCP servers, prompt injection, and the leaking of internal documents via RAG. Governance is a challenge as companies cannot proceed with full-scale deployment without proper usage rules and auditing systems.
3. Redesign of business processes and skill gaps Even with tools like Claude or Copilot, most companies continue using them partially within existing workflows, failing to redesign processes for AI-human collaboration. Furthermore, skill gaps between employees who can and cannot use AI are widening. This 'adoption-only' state, where tools are distributed but results remain unchanged, is occurring regardless of company size.
True transformation into an AI-native company requires redesigning management, governance, and work styles, not just implementing tools or training.
About the 'AI-Native Company Transformation Program'
Transforming into an AI-native company requires multi-domain efforts, from identifying and nurturing transformation talent to practical application, governance, and the reallocation of human resources freed up by efficiency gains.
This program provides phased support following a 5-phase roadmap. Companies can also choose to enter the program from any phase depending on their AI adoption status and challenges.
Phase 1 | Identifying Transformation Talent based on 'Givery AI Skill Standards' Objective: Objectively identify key personnel to drive business transformation through AI. The program conducts skill assessments based on 'Givery AI Skill Standards,' which define not just basic AI literacy but the ability to 'redesign business processes as AI workflows' for all employees from business to engineering roles.
The assessments cover fundamental areas like AI knowledge, business understanding, and security risks, as well as standardized exams like G-Certification and advanced practical skills such as Claude Code, multi-agent development, and harness engineering as of 2026.
Phase 2 | Training Design Objective: Build a system to manage and execute 'who learns what and in what order' organization-wide. Based on Phase 1 assessment results, the program visualizes skill gaps and integrates AI tool authorization with individual learning paths for tools like Claude and Copilot.
FACT BOX
- Source: PR TIMES
- Category: New Product
- Organizations: Microsoft / Google