Neurosphere Launches 'Tokumei FDE,' an On-site Service for AI Implementation and Adoption

Neurosphere Inc. (Headquarters: Minato-ku, Tokyo; CEO: Minoru Negoro) has launched 'Tokumei FDE (AI Business Implementation Service),' a new service where a specialized team bridges the gap between operations and AI by being stationed at the client's site to support implementation through to adoption, fundamentally solving issues where AI projects stop at the PoC (Proof of Concept) stage or fail to be used on the ground.

Simply Distributing Generative AI Tools Doesn't Generate Organizational Results While many companies are adopting generative AI tools, simply distributing them to staff rarely produces results. Companies face barriers such as inconsistent prompt quality (personalization), lack of integration with existing systems (disconnection from operations), and data leakage risks, which prevent them from creating significant business impact. To achieve results with AI, it is essential not just to distribute tools, but to create an environment where AI operates and integrates directly into existing business workflows.

What is 'Tokumei FDE'?: The Technical Lead Making AI 'Usable' on the Ground The FDE (Forward Development Engineer) is not just a development engineer. They serve as a bridge between operations and AI, understanding workflows, identifying AI-solvable problems, designing ROI, and driving development to adoption. They function as an execution unit that simultaneously overcomes the 'governance barrier,' 'mindset barrier,' and 'practical skills barrier' on-site.

Three Transformations Provided by This Service 1. Implementation at '5x the Normal Speed' through On-site Deployment and HQ Support A core team of two—a consultant (BizDev talent) and an AI-driven development engineer—will be stationed at the customer's site. While rapidly executing tasks from problem structuring to requirements definition and development on-site, the Neurosphere headquarters provides powerful backup in rapid technology selection and security/governance decisions. This hybrid structure enables proposals and implementation at five times the speed of a typical consulting firm.

2. Building 'Company-Specific AI AGENTs' to Eliminate Personalization To break away from reliance on individual know-how, we build 'Company-Specific AI AGENTs' that incorporate internal rules, manuals, and past success patterns. This creates an organizational 'asset' that allows anyone to execute tasks at the same high quality.

3. Evolution into 'AGENTIC RPA' Connected Directly to Business Systems We do not let AI end as a standalone chat tool; we connect it to existing business tools such as SaaS and internal systems. By evolving it into 'AGENTIC RPA' that automates processes such as checking, inputting, communicating, and judging, we realize significant labor reduction and productivity improvement.

Packages and Structure Basic structure: On-site team (Consultant + AI Engineer) + HQ knowledge support Pricing: We offer plans tailored to the scale of implementation.