AI Management Research Institute Launches AI Native Shift Service
The launch moves the company beyond governance and auditing into implementation, addressing the gap where companies have AI rules but no concrete operational use.
Reporting from 1 source: ASCII.jp.
AI Management Research Institute has launched AI Native Shift, a service that redesigns corporate operations on an AI-first basis. The company previously focused on AI governance and auditing. It now pairs that defensive expertise with offensive AI engineering, supporting companies from utilization planning through implementation. The service covers business process redesign, AI system development, governance design, and staff training, and is built around four service lines: Advisory, Build, Governance, and Academy.
AI Management Research Institute built the service around problems it heard from client companies: they want to use AI but do not know which operations it fits, do not know what risks to consider, and find that governance rules do not lead to concrete use. AI Native Shift treats AI as the starting point for redesigning operations rather than a tool bolted onto existing processes, and assigns each task a role, whether delegated to AI, left to human judgment, or routed through human review and approval.
- AI Native Shift | Advisory: organizes and analyzes business processes, identifies effective AI use cases, and translates them into roadmaps and measures
- AI Native Shift | Build: designs and develops AI systems with generative AI and AI agents, considering quality, security, explainability, and auditability
- AI Native Shift | Governance: builds AI policies, guidelines, review and approval processes, risk assessment, and monitoring
- AI Native Shift | Academy: provides AI utilization and governance training for executives, managers, AI promotion staff, and general users
Synthesized by Yomimono from the 1 cited source below, including Japanese-language reporting where cited, then editorially reviewed before publishing.