Announced details
Provided cumulative support to more than 200 companies in the areas of GRC, information security and enterprise-wide risk management
13th Floor, JR Tokyu Meguro Building, 3-1-1 Kamiosaki, Shinagawa-ku, Tokyo
The price of this service is Not disclosed. The AI Governance Quick Assessment is free of charge (for the first 10 companies).
The impact on business performance is Not disclosed
The company does not address Contract Value.
Our survey dated 18 June 2026: “More than 60% of generative AI users say their work would be affected if generative AI became unavailable”
| Item | Details |
|---|---|
| Names of Products / Services Covered | AI Governance Assessment Service, AI Governance Quick Assessment, AI MONBAN |
| Offering price | The price of this service is Not disclosed. The AI Governance Quick Assessment is free of charge (for the first 10 companies). |
| Launch date | AI Governance Assessment Service: 31 August 2026 (launch date) / AI Governance Quick Assessment: announced on 31 August 2026; implementation timing is Not disclosed |
| Applicable area | Organization and governance, AI services and AI assets, Data and security, Actual use and employee behavior |
| Location | 13th Floor, JR Tokyu Meguro Building, 3-1-1 Kamiosaki, Shinagawa-ku, Tokyo |
| Usage history | Provided cumulative support to more than 200 companies in the areas of GRC, information security and enterprise-wide risk management |
| Impact on Business Performance | The impact on business performance is Not disclosed |
| Source | Our survey dated 18 June 2026: “More than 60% of generative AI users say their work would be affected if generative AI became unavailable” |
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.As the use of generative AI for business purposes expands, companies are seeing increased use that they cannot fully monitor, including individually contracted services and AI embedded in SaaS products. There is therefore a need to objectively identify the gap between actual use and internal rules.