Identify gaps between current AI governance arrangements and the compliance controls, evidence and ownership needed for responsible AI adoption.
Book ConsultationMany organisations have started using AI before their governance, compliance controls and evidence processes have fully caught up. A compliance gap analysis identifies where current arrangements fall short of expected regulatory, policy, risk and assurance requirements.
INTAI reviews AI policies, ownership, approval routes, risk assessments, supplier controls, monitoring arrangements, documentation and evidence. The focus is on identifying practical gaps that could affect compliance, audit readiness or responsible AI governance.
The outcome is a clear view of what is missing, what matters most and which actions should be prioritised to strengthen AI compliance before issues become embedded or harder to resolve.
Review existing AI policies, inventories, approval routes, ownership, risk records, supplier controls and available evidence.
Establish the relevant compliance, governance, risk, data, supplier and assurance requirements that the organisation should meet.
Compare current arrangements against expected requirements to identify missing controls, weak evidence and unclear ownership.
Prioritise gaps based on regulatory relevance, business impact, control weakness, evidence quality and audit exposure.
Provide a practical remediation plan showing what should be fixed first, who should own it and what evidence should be created.
Practical outputs that help organisations understand their AI compliance gaps and prioritise remediation.
Take the AI Policy Assessment™ to understand where policies, guidance, ownership and practical controls may be incomplete, and identify the areas that need strengthening to support regulatory readiness.
Take Assessment Book ConsultationAn AI compliance gap analysis compares your current governance, policies, controls and evidence against defined legal, regulatory, contractual or internal requirements. It identifies what is missing, incomplete or not yet operating effectively.
A broader compliance review examines the organisation’s overall position. A gap analysis focuses specifically on the difference between what currently exists and what is required, creating a clearer remediation plan.
The scope can be aligned to the requirements relevant to your organisation, including the EU AI Act, data protection obligations, sector-specific regulation, internal policies and recognised standards such as ISO/IEC 42001.
Areas can include AI inventories, risk classification, policies, accountability, approvals, supplier governance, data controls, human oversight, monitoring, incident management, documentation and retained compliance evidence.
Yes. Third-party AI can introduce additional obligations around due diligence, contractual controls, data handling, monitoring and accountability, so supplier arrangements should be included where relevant.
Yes. Identified gaps can be prioritised according to regulatory importance, risk, business impact, dependency and implementation effort so the organisation can focus first on the issues that matter most.
Yes. Identifying weaknesses before audit or assurance activity gives the organisation time to strengthen controls, improve documentation, close evidence gaps and clarify ownership.
Deliverables can include regulatory and requirement mapping, a structured gap assessment, evidence requirements, prioritised remediation actions and a practical implementation roadmap.
The analysis should be revisited when regulations, AI systems, suppliers or governance arrangements change materially, and periodically where AI use is significant or expanding.
Start with the AI Policy Assessment™ to identify weaknesses across policies, ownership, communication and practical application, or book a consultation to scope a detailed AI compliance gap analysis against the requirements relevant to your organisation.
Identify where AI governance, policy, controls and evidence fall short of requirements and focus remediation on the gaps that matter most.
Continue strengthening your AI governance and compliance capability with services that support gap analysis, audit readiness, regulatory advisory, risk assessment and assurance.
