Building Responsible and Trusted AI & Data Governance Capabilities
Policies | Processes | Guidelines | Templates
QAI supports organizations in establishing responsible and trustworthy AI and Data Governance capabilities aligned with global standards and best practices including ISO/IEC 42001:2023 and DAMA-DMBOK.
As organizations increasingly rely on AI and data-driven decision-making, effective governance becomes essential to ensure trust, accountability, compliance, security, and business value. We work alongside your teams to facilitate the definition and documentation of the policies, processes, guidelines, and templates required to govern AI and data effectively.
AI Management Systems (AIMS)
Building an AI Management System (AIMS)
Policies | Processes | Guidelines | Templates
QAI supports organizations in establishing a responsible and trustworthy AI Management System (AIMS) with guardrails aligned with ISO/IEC 42001:2023.
We work alongside your teams to facilitate the definition and documentation of the policies, processes, guidelines, and templates required to govern AI responsibly.
Scope of Support
- Facilitation in defining AI policies (ethics, accountability, data use, oversight)
- Guidance on processes across the AI lifecycle
- Support in developing practical guidelines for teams
- Enablement in creating required templates and records
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- Help connect you with ISO 42001 auditor
- Help you get ready for ISO 42001 certification
Approach
- Collaborative working with internal teams
- Contextualized to your organization’s scale and risk profile
- Focus on practicality and usability
- Emphasis on internal ownership and sustainability
Data Management & Data Governance
Building Enterprise Data Governance Capabilities
Policies | Standards | Stewardship | Controls
QAI supports organizations in establishing enterprise Data Management and Data Governance capabilities aligned with DAMA-DMBOK and industry best practices.
We work with organizations to define governance structures, improve data quality, establish accountability for data assets, and create trusted data foundations that support analytics, digital transformation, compliance, and AI initiatives.
Scope of Support
- Data Governance frameworks and operating models
- Data policies, standards, and stewardship models
- Data quality management practices
- Metadata and Master Data Management (MDM)
- Data lifecycle, retention, and archival governance
- Data privacy, security, and compliance support
- Data governance maturity assessments
- AI data readiness and trusted data foundations
Approach
- Collaborative engagement with business and technology teams
- Practical and implementation-focused guidance
- Tailored to organizational scale and maturity
- Emphasis on sustainability and business alignment
Get Started
Whether you are looking to establish an AI Management System aligned with ISO/IEC 42001:2023 or strengthen enterprise Data Governance capabilities, connect with us to discuss your requirements or Fill in the contact us form.
Read more about our trainings at: www.qaiglobalinstitute.com
