AI Governance & Technology Risk
AI governance and technology risk advisory: accountability, risk assessment, and oversight for AI adoption, aligned to frameworks such as NIST AI RMF.
AI and other emerging technologies are being adopted faster than governance can keep up, leaving unclear accountability for data, model, security, and regulatory risk.
Techem Group helps leadership establish proportionate AI governance: an inventory of AI use, risk assessment, accountability and approval processes, and oversight aligned to recognized frameworks such as the NIST AI Risk Management Framework.
An AI governance structure that enables adoption responsibly, a view of current AI-related risk, and reporting leadership can stand behind.
Questions leadership is asking
- Where is AI already in use across the organization and its vendors?
- Who approves new AI use, and on what criteria?
- What data, security, and regulatory risks does it introduce?
- How will the board know that AI risk is being governed?
How the engagement works
- Inventory AI use, including third-party and embedded AI capabilities.
- Assess risk across data, security, model behaviour, and regulatory exposure.
- Define governance: ownership, approval, policy, and monitoring.
- Integrate AI risk into technology and enterprise risk reporting.
What you receive
- AI use inventory and risk assessment.
- AI governance framework and policy.
- Leadership and board reporting on AI risk.
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