AI Act Compliance
The EU AI Act introduces a structured approach to regulating artificial intelligence according to the risks associated with its intended use. For organisations developing, providing, introducing, or using AI systems, compliance requires more than reviewing the technology itself.
The organisation needs to understand which AI systems it uses, what role it performs in relation to each system, how the systems are classified, and which obligations apply. Responsibilities may differ depending on whether the organisation develops an AI system, purchases it from a supplier, integrates it into a service, or uses its outputs within a business process.
AI Act Compliance services from CA help you understand these responsibilities and translate them into practical controls. We assess your AI environment, identify applicable requirements, clarify ownership, and develop a structured plan for achieving and maintaining compliance.
Why This Matters
AI systems can support internal tasks, interact with customers, influence decisions, generate content, and perform actions within connected systems. The obligations associated with these uses depend on factors such as the purpose of the system, the people affected, the level of automation, and the possible consequences of an incorrect result.
An organisation may also use more AI than it realises. AI capabilities can be embedded within business applications, cloud services, recruitment platforms, customer tools, security products, and software supplied by external providers.
Without a clear view of these systems, it becomes difficult to determine which requirements apply and whether the necessary controls, documentation, notices, and monitoring arrangements are in place.
A practical AI Act compliance programme helps you:
Understand your regulatory role
Determine whether the organisation acts as a provider, deployer, importer, distributor, or another relevant party in relation to each AI system.
Classify AI systems consistently
Evaluate systems according to their intended purpose, use, potential impact, and applicable risk category.
Establish appropriate controls
Introduce governance, documentation, transparency, oversight, testing, and monitoring measures that reflect the organisation’s responsibilities.
Maintain reliable evidence
Keep clear records of assessments, decisions, controls, suppliers, system changes, incidents, and ongoing reviews.
Our Approach
We do not treat AI Act compliance as a one-time legal review or a standard questionnaire applied to every AI system. The practical requirements depend on how the technology is used, which parties are involved, and what effect the system may have on individuals and business operations.
Our approach combines regulatory interpretation with business, technical, security, privacy, and risk-management considerations. We examine the full AI solution, including its purpose, model, data, users, integrations, suppliers, outputs, and level of human involvement.
The assessment is proportionate. Lower-risk uses follow a simpler route, while systems with a greater potential impact receive more detailed evaluation, documentation, testing, approval, and monitoring.
Identify AI systems and determine organisational roles
We begin by creating or reviewing an inventory of AI systems and use cases across the organisation.
This may include internally developed models, purchased applications, embedded AI features, generative AI assistants, automated decision tools, customer-facing systems, analytics platforms, and services provided by third parties.
For each system, we document its purpose, users, affected individuals, data sources, supplier relationships, integrations, outputs, and level of automation. We also establish how the organisation uses the system and whether the use differs from the purpose originally defined by its provider.
We then determine the organisation’s relevant role in relation to each system. This is important because responsibilities may vary depending on whether the organisation develops, supplies, modifies, distributes, imports, or deploys the technology.
Classify systems and assess compliance gaps
We assess each relevant system to understand its regulatory classification and the requirements that may apply.
The review considers the intended purpose, context of use, people affected, importance of the supported decision, level of human oversight, data processed, and possible consequences of error or misuse.
We then compare existing arrangements with the applicable requirements. This may cover governance, risk management, technical documentation, data management, record keeping, transparency, human oversight, accuracy, resilience, cybersecurity, supplier management, user information, and ongoing monitoring.
The findings clearly distinguish between measures already in place, measures requiring improvement, and obligations that have not yet been addressed.
Implement controls and prepare documentation
We translate the identified requirements into practical actions for responsible business and technical teams.
Depending on the system and the organisation’s role, this may involve establishing approval processes, completing risk assessments, defining human oversight, improving technical records, documenting data sources, testing system performance, preparing user information, reviewing supplier contracts, and introducing incident or issue-reporting procedures.
We help assign owners to each action and define suitable evidence of completion. Documentation is designed to reflect the actual AI system and the way it operates, rather than repeating general regulatory wording.
Where several requirements overlap with existing security, privacy, quality, or compliance processes, we connect them to shared controls. This reduces duplication and makes the compliance programme easier to maintain.
Establish monitoring and maintain compliance
AI Act compliance must continue after an AI system has been approved and introduced.
Models, data, suppliers, integrations, users, and business purposes can change. A system that originally followed one classification or approval route may require further assessment if its use expands or its operation changes significantly.
We help establish regular reviews, performance monitoring, incident reporting, complaint handling, control testing, supplier oversight, change management, and management reporting.
We also define events that should trigger a new assessment. These may include a material model update, a different use, a new data source, increased automation, repeated inaccurate results, a serious incident, or a change affecting the people who rely on or are affected by the system.
What Sets CA Apart
Compliance connected to actual AI use
We assess the way each system operates within the organisation instead of relying only on its product name or supplier description.
Business, technical, and regulatory alignment
We bring together system ownership, technical operation, legal responsibilities, security, privacy, risk, and compliance.
Proportionate implementation
We adapt assessment, documentation, and oversight to the organisation’s role and the potential impact of the system.
Practical and independent support
Our recommendations focus on meeting the organisation’s responsibilities and are not tied to a particular model, platform, or software provider.
The Business Value
AI Act Compliance services from CA give your organisation a clearer understanding of how regulatory requirements apply to its AI systems and business activities.
Management gains better visibility of the organisation’s AI inventory, regulatory roles, higher-risk systems, control gaps, and outstanding decisions. Business and technical teams receive practical actions instead of having to interpret broad requirements independently.
A structured approach also reduces unnecessary duplication. Existing risk, security, privacy, procurement, quality, and supplier-management processes can support AI compliance where appropriate.
Clear documentation and assigned ownership make it easier to demonstrate how systems were assessed, why they were approved, which controls apply, and how their ongoing performance is reviewed.
The result is a more reliable route to AI Act compliance, stronger control over AI-related risk, and greater confidence when introducing or expanding artificial intelligence across the organisation.
Next Step
Preparing for the AI Act begins with understanding which AI systems the organisation uses, what role it performs, and which requirements apply.
Contact CA for an initial consultation. We will help you map your AI environment, assess relevant systems, identify compliance gaps, and develop a practical plan for implementing and maintaining the necessary controls.