Announced details
Corporate use of generative AI, operational efficiency, internal knowledge sharing, inquiry handling, research, analysis, summarisation and document preparation
Business know-how and decision criteria not articulated: 62.2%; knowledge only partially organised, scattered or unorganised: 65.4%; measurable ROI clearly verified: 11.8%; experience using external AI for business purposes: 58.6%; average adoption rate across 9 use cases: 8.5%
Survey of 500 workers nationwide. Valid responses: 500, including 346 generative AI users. OfficeBot has been provided since 2016.
Neos Corporation is a subsidiary of Tecmira Holdings Corporation. The survey was conducted by Neos Corporation.
1-23-1 Kanda-Sudacho, Chiyoda-ku, Tokyo, Sumitomo Fudosan Kanda Building No. 2 (ネオス headquarters)
No impact on results is stated
The company does not address Contract Value / Offering price.
Neos Corporation, “Corporate AI White Paper 2026”; MIT Media Lab, “Project NANDA” report (2025)
| Item | Details |
|---|---|
| Names of Products / Services Covered | AI agent service “OfficeAI Employee”, “Corporate AI White Paper 2026” |
| Relationship with the Company | Neos Corporation is a subsidiary of Tecmira Holdings Corporation. The survey was conducted by Neos Corporation. |
| Applicable area | Corporate use of generative AI, operational efficiency, internal knowledge sharing, inquiry handling, research, analysis, summarisation and document preparation |
| Location | 1-23-1 Kanda-Sudacho, Chiyoda-ku, Tokyo, Sumitomo Fudosan Kanda Building No. 2 (ネオス headquarters) |
| Quantitative Effects | Business know-how and decision criteria not articulated: 62.2%; knowledge only partially organised, scattered or unorganised: 65.4%; measurable ROI clearly verified: 11.8%; experience using external AI for business purposes: 58.6%; average adoption rate across 9 use cases: 8.5% |
| Usage history | Survey of 500 workers nationwide. Valid responses: 500, including 346 generative AI users. OfficeBot has been provided since 2016. |
| Impact on Business Performance | No impact on results is stated |
| Source | Neos Corporation, “Corporate AI White Paper 2026”; MIT Media Lab, “Project NANDA” report (2025) |
Items this document does not state (10)
These are items the company does not state in this document. We do not leave them blank, nor fill them in from other sources or by inference.
The reasons the company gives
The company's own explanation, not something inferred from the numbers.While the adoption of generative AI is spreading, companies have not made sufficient progress in identifying, articulating and organising their internal knowledge, and have not established the business knowledge and decision criteria that AI can reference.