By adapting methodologies from the pharmaceutical industry—where documented accountability is strictly mandated—we provide actionable information to advance the IT and AI adoption in business workflows and build operational systems rooted in evidence-based decision-making.
Adapting Pharmaceutical IT Quality Methodologies & Sharing Toolkits
By adapting methodologies from the pharmaceutical industry—where documented accountability is strictly mandated—we plan to continuously deliver practical insights for advancing IT and AI adoption in workflows and establishing evidence-based decision-making systems. To begin, we invite you to explore our published works synthesizing this professional experience.
AI Governance for User Organizations (English Edition)
For senior managers of user organizations, and for quality assurance and audit staff. Supports gaining the knowledge needed for AI governance and quality assurance, so that readers can do their work with confidence.
View on Amazon.co.jpIT Audit, QMS Evaluation, and Project Management Advisory
Engagement scope can be fully customized to meet your specific requirements. Illustrative service scenarios include the following:
- Conducting governance assessments and IT audits aligned with pharmaceutical industry best practices or client-designated standard operating procedures, followed by actionable recommendations for continuous improvement.
- Assessing Quality Management Systems (QMS) through structured reviews and audits to evaluate the effectiveness of continuous improvement mechanisms.
- Evaluating data integrity controls and fraud/anomaly detection mechanisms.
- Serving as a sounding board for clients who are worrying over IT adoption or future business measures on their own: listening to their intentions and issues, and raising questions and opinions from a third-party viewpoint so that they can organize their own thinking.
- Serving as a support partner for IT project managers at user organizations and as an advisor to quality control and quality assurance staff.