Use Cases
Governance & accountability
Clear ownership. Defined accountability. Responsible AI governance.
Assess how AI is governed, approved and overseen across your organisation.
Ownership
Clear accountability for AI governance
Policies
Defined AI policies and governance requirements
Approvals
Processes for reviewing and approving AI use
Oversight
Management visibility and ongoing accountability
Overview
What is AI Governance & Accountability?
AI governance defines how an organisation directs, oversees and takes accountability for the use of artificial intelligence. We assess whether clear ownership, responsibilities, policies, approval processes and management oversight are in place to support responsible AI adoption.
Key Capabilities
AI governance ownership
Roles and responsibilities
AI policies and standards
AI approval processes
Management oversight
Governance reporting
Process
How It Works
- 01
- Review governance arrangements
Assess existing AI policies, responsibilities, approval processes and governance documentation.
- 02
- Identify governance gaps
Identify gaps in ownership, accountability, decision-making, approval processes and governance controls
- 03
- Recommend actions
Provide practical recommendations for strengthening AI governance, accountability and management oversight.
- 04
- Identify and assess AI risks
Assess how AI-related risks are identified, evaluated, documented, prioritised and managed throughout the organisation.
Impact
Business Value
- Ownership
Clear accountability for AI governance
- Policies
Defined AI policies and governance requirements
- Approvals
Processes for reviewing and approving AI use
- Oversight
Ready to implement AI Customer Support?
Let’s talk about how this solution maps to your business and what results you can expect.