AI Governance
Artificial intelligence is becoming part of everyday business operations. Organisations use AI to support employees, analyse information, automate decisions, improve customer services, and develop new products. As adoption grows, businesses need clear oversight to manage risks, define responsibilities, and ensure AI is used appropriately.
CA helps your organisation establish practical AI governance structures that connect business objectives, accountability, risk management, security, compliance, and technical oversight, allowing you to adopt AI with greater confidence and control.
What is AI Governance?
AI governance refers to the policies, responsibilities, processes, and controls an organisation uses to manage artificial intelligence throughout its lifecycle. It helps ensure that AI systems are evaluated, approved, monitored, and used responsibly while addressing risks relating to accuracy, bias, privacy, cybersecurity, intellectual property, transparency, and regulatory compliance.
A well-structured AI governance programme provides visibility into AI use, establishes clear accountability, and supports responsible innovation across the organisation.
How can we help you strengthen your AI governance?
At CA, we help organisations develop AI governance frameworks that support responsible innovation without introducing unnecessary barriers to experimentation.
Our approach considers your business objectives, current AI use, technical environment, risk profile, and regulatory responsibilities. We establish proportionate controls based on the purpose and potential impact of each AI system, ensuring that higher-risk applications receive the appropriate level of assessment and oversight.
Our AI Governance Services
1
AI environment assessment
We identify how artificial intelligence is currently used or planned across your organisation, including public generative AI tools, enterprise AI assistants, embedded application features, internally developed models, automated decision systems, customer-facing services, and third-party solutions.
We assess the purpose of each use case, the information being processed, the users affected, the systems involved, and the decisions supported by AI. We also review existing policies, approval processes, vendor-management arrangements, security controls, privacy requirements, and responsibilities to identify gaps in visibility and oversight.
2
AI governance roles and decision processes
We help define clear responsibilities for approving, owning, operating, monitoring, and reviewing AI systems. This includes establishing accountability for business risks and identifying the teams responsible for technical operation, security, privacy, legal, compliance, and ethical considerations.
We also develop approval and escalation processes proportionate to risk. Higher-risk AI systems may require additional evidence, independent reviews, senior management approval, or more frequent monitoring. Clear decision processes ensure that teams understand the requirements for approving, restricting, changing, or stopping an AI system.
3
AI policies, risk controls, and lifecycle management
We develop practical requirements for selecting, building, purchasing, deploying, using, and monitoring AI systems. These may cover acceptable AI use, data protection, information security, human oversight, accuracy testing, transparency, supplier assessment, intellectual property, record keeping, incident handling, model changes, and the use of generated content.
Our AI risk assessment process considers the intended purpose, affected individuals, information used, level of automation, potential consequences of errors, human review mechanisms, supplier dependencies, and relevant legal obligations. We align controls with the level of risk and the stage of the AI lifecycle, helping organisations address important concerns before deployment.
4
AI oversight, monitoring, and continuous improvement
We help implement AI governance through practical documentation, employee communication, training, approval workflows, reporting, and support for responsible teams.
We can establish an AI inventory that records approved systems and use cases, their owners, purpose, risk levels, data sources, suppliers, controls, and review dates. We also define monitoring and reporting processes covering performance, incidents, complaints, unexpected outputs, model or data changes, supplier updates, control exceptions, and outstanding improvement actions.
Regular reviews help your organisation update its policies, risk assessments, and controls as AI technology, business requirements, and regulatory expectations evolve.
Stay one step ahead
Effective AI governance gives your organisation a clearer and more consistent way to make decisions about artificial intelligence. Management gains better visibility into AI use, potential risks, and accountability, while business and technical teams receive practical guidance for evaluating new opportunities.
At CA, we help you establish a controlled but flexible environment in which AI can support business objectives while security, privacy, operational, ethical, and compliance risks remain under appropriate oversight.
Our experts can help you:
- Assess your existing AI environment and identify governance gaps.
- Define AI governance responsibilities, approval processes, and escalation paths.
- Develop AI policies, risk assessment procedures, and lifecycle controls.
- Establish AI inventories, monitoring arrangements, and reporting processes.
- Align AI governance with your business objectives, security requirements, and regulatory obligations.
Contact CA for an initial consultation. We will help you assess your current AI environment, define practical governance responsibilities, and develop a framework that supports secure, compliant, and responsible AI use.