Company-Wide Generative-AI Adoption & Governance

The company wanted to use generative AI across the whole organization to raise productivity. As a financial-services business, however, it had to strictly observe Japan's APPI (personal-data law), internal regulations, and confidential-information handling — uncontrolled use would have been a compliance risk.

• Alignment with Japan's APPI and internal regulations
• Managing the risk of confidential data leaving the company
• Conformance with J-SOX IT general controls (ITGC) and the FISC security guidelines
• Responding to internal audits and remediating findings

Chose to 'enable safe use' rather than prohibit. Established usage guidelines and designed permissions and logging first, then built a platform that monitors 100% of input prompts. With controls in place, rolled out business automation across the company in stages.

Built and operate multiple generative-AI business systems around the Claude / OpenAI APIs and AWS: (1) fully automated specification generation for existing systems, (2) call-recording transcription with LLM-based first-pass evaluation, (3) full monitoring of employee prompts to generative AI, (4) first-response drafting for customer inquiries, (5) an answer-generation harness for J-SOX ITGC / FISC security-guideline assessments, and (6) automated research on unlisted companies.

• Established company-wide generative-AI use without loosening controls
• Cut operational workload and cost by automating multiple workflows
• Made confidential-data handling risk visible and manageable through full prompt monitoring
• Addressed and remediated internal-audit findings

Generative-AI governance is not about banning — it is about designing for safe use. Control and adoption are not a trade-off: putting logs, permissions, and monitoring in place first makes both possible.