AI Audit & Regulatory Readiness for Financial Services
EU AI Act Compliance Audits | AI Governance Reviews | BaFin Examination Readiness | DORA Risk Assessments | Remediation
Is Your Financial Institution Ready for AI Regulatory Scrutiny?
Artificial intelligence is increasingly embedded in the operations of banks, insurance companies, asset managers, investment firms, payment institutions and other financial services providers.
From creditworthiness assessments and insurance pricing to fraud detection, anti-money laundering, investment management and generative AI, these applications introduce new opportunities — but also regulatory obligations, operational risks and supervisory expectations.
The critical question is no longer simply whether your organisation uses AI. It is whether you can demonstrate that your AI systems are governed, controlled and compliant with applicable regulatory requirements.
The European Union’s Artificial Intelligence Act (EU AI Act), Germany’s AI Market Surveillance and Innovation Promotion Act (KI-MIG) and the Digital Operational Resilience Act (DORA) establish an increasingly important regulatory framework for financial institutions.
Under Germany’s KI-MIG, the Federal Financial Supervisory Authority (BaFin) is responsible for market surveillance of specified AI systems directly connected with regulated financial activities.
Leitner & Associates, a professional service of Andreas Leitner GmbH, provides specialist AI audits, regulatory readiness assessments, compliance gap analyses and examination preparation for the financial services industry.
We help financial institutions identify regulatory deficiencies, evaluate the effectiveness of AI governance and internal controls, prepare for supervisory examinations and implement appropriate remediation measures.
Identify regulatory gaps. Strengthen internal controls. Prepare for supervisory scrutiny.
Request an EU AI Act Readiness Assessment
Our AI Audit & Regulatory Readiness Services
Our audit and assessment services evaluate whether your organisation’s AI applications, governance arrangements, risk management processes and internal controls meet applicable regulatory requirements.
We combine regulatory analysis with practical assessments of governance, processes, documentation and control effectiveness.
1. EU AI Act & KI-MIG Readiness Assessment
Understand your regulatory obligations and identify compliance gaps.
The EU AI Act introduces obligations that depend on the intended purpose, risk classification and operator role associated with individual AI systems.
Our EU AI Act Readiness Assessment examines your organisation’s current position against applicable requirements.
The assessment covers:
- Identification and inventory of AI systems and applications
- Assessment of AI Act applicability and regulatory scope
- Classification of AI systems under Article 6 and the relevant annexes
- Determination of provider, deployer and other relevant operator responsibilities
- Assessment of prohibited AI practices under Article 5
- Review of AI literacy arrangements under Article 4
- Assessment of applicable transparency requirements under Article 50
- Identification of relevant high-risk AI requirements
- Evaluation of existing governance policies, procedures and controls
- Identification of regulatory gaps and implementation priorities
Deliverables: AI Act applicability assessment, regulatory requirements matrix, compliance gap analysis, prioritised findings register and implementation roadmap.
Your benefit: A documented understanding of the AI Act requirements applicable to your organisation, existing compliance deficiencies and the actions required to address them.
2. AI Governance & Internal Control Audit
Assess whether your AI governance framework is properly designed, documented and operating effectively.
Effective AI governance requires more than an AI policy or an inventory of applications. Financial institutions need appropriate organisational structures, clearly allocated responsibilities, effective risk management and reliable internal controls.
Our AI Governance Audit examines the design and, where agreed, operational effectiveness of your organisation’s AI governance framework.
Key assessment areas include:
- AI strategy and governance framework
- Responsibilities of management bodies and control functions
- AI policies, guidelines and internal procedures
- AI system inventory and lifecycle management
- AI risk assessment and classification methodologies
- Risk appetite, risk acceptance and escalation procedures
- AI development, procurement and deployment approvals
- Model governance, testing and validation arrangements
- Human oversight and intervention procedures
- Data governance, data quality and bias risk controls
- Generative AI and large language model governance
- Internal control design and operating effectiveness
- Management information, monitoring and reporting
We examine how AI-related responsibilities are integrated into existing governance arrangements, including Compliance, Risk Management, Information Security, ICT and Internal Audit.
Deliverables: AI governance audit report, risk and control matrix, control deficiencies register, management recommendations and corrective action plan.
Your benefit: A structured assessment of governance and control effectiveness, supported by clear findings and recommendations for improvement.
3. High-Risk AI Compliance & Readiness Audit
Prepare for the specific regulatory requirements applicable to high-risk AI systems.
Certain AI applications in the financial services industry are classified as high-risk under Annex III of the EU AI Act.
These include, subject to the relevant legal conditions and exceptions:
- AI systems intended to evaluate the creditworthiness of natural persons or establish their credit scores, excluding systems used for detecting financial fraud.
- AI systems intended for risk assessment and pricing concerning natural persons in life and health insurance.
High-risk AI systems are subject to additional regulatory requirements, depending on the relevant operator’s role.
Our High-Risk AI Compliance Audit examines:
- High-risk classification and applicable exemptions
- Provider and deployer responsibilities
- AI risk management systems
- Data governance and data quality arrangements
- Technical documentation and record-keeping
- Transparency and information obligations
- Human oversight arrangements
- Accuracy, robustness and cybersecurity controls
- Conformity assessment and registration requirements, where applicable
- Post-deployment and post-market monitoring
- Serious-incident reporting arrangements
- Fundamental rights impact assessments where required under Article 27
Deliverables: High-risk AI requirements matrix, compliance assessment report, documentation review, control checklist and prioritised remediation plan.
Your benefit: Greater clarity regarding high-risk AI obligations and a practical basis for implementing the required governance, documentation and controls.
4. AI & DORA Compliance Audit
Integrate AI-related ICT risks into your existing digital operational resilience framework.
Artificial intelligence creates specific information and communication technology (ICT) risks throughout the AI system lifecycle.
These risks may arise from data acquisition, model development, system deployment, operational dependencies, external AI service providers, cybersecurity vulnerabilities and changes to AI systems.
The Digital Operational Resilience Act (DORA) establishes ICT risk management and operational resilience requirements for financial entities within its scope.
In December 2025, BaFin published non-binding guidance on ICT risks arising from the use of artificial intelligence in financial institutions.
Our AI & DORA Compliance Audit examines how AI-related ICT risks are addressed within your existing DORA arrangements.
Assessment areas include:
- Identification and classification of AI-related ICT assets
- Integration of AI risks into the ICT risk management framework
- AI-related information security and cybersecurity controls
- ICT third-party risk management
- AI and cloud service provider dependencies
- Contractual arrangements and relevant audit rights
- Testing, validation and change management
- Access controls and protection of information assets
- ICT incident detection, management and reporting
- Business continuity, resilience and recovery arrangements
- AI system monitoring and decommissioning
- Governance, documentation and management reporting
Deliverables: AI-related ICT risk assessment, DORA compliance gap analysis, third-party risk assessment, control testing report and remediation roadmap.
Your benefit: A coordinated approach to AI governance and ICT risk management that builds on existing DORA arrangements and avoids unnecessary duplication.
5. BaFin AI Examination Readiness Review
Prepare your organisation, documentation and control environment for regulatory examinations.
The KI-MIG, which entered into force on 29 July 2026, assigns BaFin market surveillance responsibilities for specified AI systems directly related to regulated financial activities undertaken by designated supervised entities.
Financial institutions must therefore consider how they can demonstrate compliance with applicable AI Act requirements, alongside their existing supervisory obligations.
Our BaFin AI Examination Readiness Review is designed to assess whether your organisation can provide appropriate evidence of its AI governance, risk management and compliance arrangements.
We review:
- Organisational responsibilities and management oversight
- AI inventories and regulatory classifications
- Documentation supporting regulatory assessments
- AI governance policies and procedures
- AI risk assessments and control documentation
- High-risk AI compliance evidence, where relevant
- DORA integration and ICT risk management evidence
- Third-party AI service provider oversight
- AI literacy and training records
- Internal audit findings and outstanding deficiencies
- Remediation plans and evidence of corrective action
- Management reporting and supervisory information readiness
Where appropriate, we conduct structured examination simulations, documentation walkthroughs and interviews with relevant business and control functions.
Deliverables: Examination readiness report, evidence checklist, document request list, findings register, management briefing and prioritised remediation plan.
Your benefit: Improved preparation for regulatory information requests and examinations, with an evidence-based assessment of potential weaknesses.
Our readiness reviews do not constitute official BaFin examinations or guarantee a particular supervisory outcome.
6. AI Compliance Remediation & Effectiveness Review
Resolve deficiencies and demonstrate that corrective measures have been implemented effectively.
Identifying compliance gaps is only the beginning. Financial institutions must also implement corrective actions and, where relevant, demonstrate their effectiveness.
Leitner & Associates supports institutions in addressing deficiencies identified through internal audits, compliance reviews, regulatory assessments and supervisory examinations.
Our services include:
- Assessment and prioritisation of audit findings
- Root cause analysis of governance and control deficiencies
- Development of corrective action and remediation plans
- Allocation of responsibilities and implementation milestones
- Remediation programme monitoring
- Review of revised policies, procedures and controls
- Testing of implemented corrective measures
- Verification of remediation evidence
- Preparation of management and status reporting
Deliverables: Remediation action plan, findings and actions register, implementation status report, control effectiveness assessment and remediation verification report.
Your benefit: Structured, traceable remediation supported by evidence that corrective actions have been implemented and tested.
Where a separate independent assurance opinion is required, the scope and independence arrangements must be assessed accordingly.
AI Audit & Regulatory Readiness: Key Deliverables
Our assessments produce practical documentation designed to support management decisions, internal controls and regulatory examination preparation.
Depending on the agreed scope, deliverables include:
| Deliverable | Purpose |
|---|---|
| AI System Inventory Review | Assess identification, completeness and classification of AI applications |
| Regulatory Applicability Assessment | Determine relevant EU AI Act, KI-MIG and other obligations |
| AI Compliance Gap Analysis | Identify deficiencies against applicable requirements |
| AI Governance Audit Report | Evaluate organisational arrangements, processes and controls |
| AI Risk & Control Matrix | Map identified risks to required and existing controls |
| High-Risk AI Assessment | Review specific high-risk classification and compliance requirements |
| AI & DORA Risk Assessment | Evaluate relevant ICT risks and third-party dependencies |
| Examination Readiness Report | Assess documentation and evidence available for supervisory review |
| Findings & Remediation Register | Record deficiencies, responsibilities, actions and milestones |
| Management Report | Summarise findings, risk priorities and decisions required |
| Remediation Effectiveness Review | Assess implementation and effectiveness of corrective measures |
All assessments are tailored to the institution’s business model, regulatory status, AI applications and risk profile.
AI Regulatory Audits for Banks, Insurers and Financial Services
We provide sector-specific AI compliance assessments that reflect the different business models, regulatory frameworks and risk exposures within the financial services industry.
Banks & Credit Institutions
EU AI Act readiness, creditworthiness and credit-scoring compliance, AI governance, fraud detection, AML/KYC applications, internal controls, DORA integration and BaFin examination preparation.
Insurance Companies
AI governance and compliance assessments covering underwriting, claims management, fraud prevention, risk modelling and relevant high-risk AI applications in life and health insurance.
Fund Management Companies & Asset Managers
AI governance reviews for investment analysis, portfolio management, investment decisions, risk management, compliance monitoring and investment-related model controls.
Investment Firms & Financial Services Providers
Regulatory assessments of AI used in investment advice, trading support, customer services, compliance and risk management under applicable financial services requirements.
Leasing & Factoring Companies
AI audits covering credit assessments, receivables analysis, fraud prevention, contract processing and operational automation, taking account of the company’s regulatory status.
Payment & Electronic Money Institutions
AI governance and DORA assessments for payment monitoring, transaction analysis, financial crime prevention, customer interaction and third-party AI services.
FinTech, RegTech & AI Solution Providers
AI Act compliance assessments for providers of AI systems used in regulated financial services, including classification, provider obligations, technical documentation, relevant conformity assessment requirements and ongoing monitoring.
Our Audit Methodology
Our approach combines regulatory expertise, risk-based assessment and practical implementation.
Step 1 — Scope & Regulatory Assessment
We establish the assessment scope, identify relevant AI applications and determine the applicable regulatory requirements.
Step 2 — Documentation & Governance Review
We examine policies, procedures, AI inventories, organisational responsibilities, risk assessments and existing control documentation.
Step 3 — Control Testing & Gap Analysis
We assess the design and, where included in the mandate, operating effectiveness of controls through document reviews, interviews, walkthroughs and evidence-based testing.
Step 4 — Audit Reporting & Remediation Planning
We document findings, evaluate regulatory and operational risks, prioritise deficiencies and recommend appropriate corrective actions.
Step 5 — Remediation Verification
Where commissioned, we review the implementation of corrective measures and assess whether identified control deficiencies have been appropriately addressed.
Our objective is not merely to identify compliance deficiencies. It is to provide a clear, documented basis for correcting them.
EU AI Act Regulatory Readiness: Key Implementation Deadlines
The EU AI Act applies progressively. Its implementation timetable was amended by Regulation (EU) 2026/1744 in July 2026.
2 February 2025 — AI Literacy and Prohibited Practices
The original provisions concerning AI literacy and prohibited AI practices became applicable.
2 August 2026 — General Application
The AI Act became generally applicable, including relevant transparency requirements, subject to statutory exceptions and transitional provisions.
2 December 2027 — Annex III High-Risk AI Systems
The relevant Chapter III requirements become applicable to high-risk AI systems classified under Article 6(2) and Annex III, subject to applicable provisions and transitional arrangements.
2 August 2028 — Annex I Product-Related High-Risk AI Systems
The relevant Chapter III requirements become applicable to high-risk AI systems classified under Article 6(1) and Annex I, subject to applicable provisions and transitional arrangements.
Financial institutions should use the implementation period to identify regulatory gaps, establish appropriate controls and prepare reliable compliance evidence.
An AI Act Readiness Assessment can provide a structured starting point.
Discuss Your AI Audit Requirements
Why Leitner & Associates?
Specialist Expertise in Financial-Sector Regulation
AI governance in financial services requires more than technical knowledge. It requires an understanding of regulatory requirements, business processes, governance arrangements, risk management and internal controls.
Leitner & Associates focuses on Governance, Risk & Compliance within the regulated financial services industry.
Integrated Regulatory Approach
We assess AI-related obligations alongside existing financial-sector requirements, including DORA, GDPR and applicable banking, insurance, investment and payment services regulation.
Our objective is to integrate AI-specific controls into established governance arrangements wherever appropriate.
Regulatory Readiness & Remediation Expertise
Our approach emphasises regulatory gap analysis, audit preparation, internal control effectiveness and structured remediation.
We focus on practical deliverables that support management oversight, internal audit and supervisory review.
Experienced Professional Leadership
Leitner & Associates is led by Andreas Leitner, whose professional background includes positions at Deloitte, BNP Paribas and Allianz, together with extensive experience in Compliance, Anti-Money Laundering, Risk Management and regulatory programmes.
This financial-sector experience informs our approach to AI governance, regulatory implementation and audit readiness.
Leitner & Associates is a professional service of Andreas Leitner GmbH.
Frequently Asked Questions About AI Audits & Regulatory Readiness
What is an EU AI Act audit?
An EU AI Act audit is a structured assessment of an organisation’s AI-related activities, governance, processes, documentation and controls against applicable requirements of the EU Artificial Intelligence Act.
Its scope may include regulatory classification, provider and deployer responsibilities, AI literacy, transparency, high-risk AI obligations, governance and control effectiveness.
An external compliance audit does not automatically constitute a statutory conformity assessment or certification under the AI Act.
Are banks and insurance companies required to conduct AI audits?
The EU AI Act does not establish a universal requirement for every bank or insurer to commission a standalone external AI Act audit.
However, institutions must meet applicable AI Act obligations and relevant financial-sector governance and control requirements. DORA also establishes specific ICT risk management, review and audit requirements for financial entities within its scope.
A risk-based AI audit can help institutions assess compliance and identify deficiencies before regulatory examinations.
What is an AI Act Readiness Assessment?
An AI Act Readiness Assessment evaluates an organisation’s current compliance position against applicable AI Act requirements.
It typically includes an inventory review, regulatory applicability assessment, risk classification, governance evaluation, documentation review, gap analysis and prioritised remediation roadmap.
What role does BaFin play in AI supervision?
Under § 2(3) KI-MIG, BaFin is the competent market surveillance authority for specified AI systems directly connected with regulated financial activities involving designated BaFin-supervised financial institutions.
Other authorities may be responsible for AI systems outside this statutory scope.
How does an AI audit differ from a DORA audit?
An EU AI Act audit primarily assesses AI-specific regulatory obligations, including classification, transparency, human oversight and relevant high-risk AI requirements.
An AI-related DORA audit focuses on applicable ICT risk management, information security, operational resilience and ICT third-party risk requirements.
The assessments overlap in areas such as cybersecurity, governance, suppliers and operational controls. An integrated approach can improve efficiency and reduce duplication.
Are all AI systems used by financial institutions classified as high-risk?
No. The AI Act uses a risk-based classification framework.
Certain creditworthiness assessment and life and health insurance applications are specifically identified in Annex III, subject to applicable conditions and exceptions.
Other applications, including fraud detection, anti-money laundering, generative AI and internal process automation, must be assessed according to their intended purpose and relevant legal requirements.
What documentation is required for AI regulatory examinations?
Documentation depends on the institution’s role, regulatory status and AI systems.
Potentially relevant evidence includes AI inventories, risk classifications, governance policies, risk assessments, control documentation, training records, third-party assessments, monitoring records and remediation reports.
Additional documentation requirements may apply to specific high-risk AI systems.
Can Leitner & Associates review the effectiveness of completed remediation measures?
Yes. We can assess whether corrective actions have been implemented and whether relevant controls are appropriately designed and operating effectively, within the agreed review scope.
Where formal independence is required, this must be considered when defining the engagement.
Prepare Your Financial Institution for AI Regulatory Scrutiny
Do you know which AI systems your organisation uses, which regulatory requirements apply and whether your existing controls would withstand supervisory examination?
Leitner & Associates supports financial institutions with comprehensive AI audits, EU AI Act readiness assessments, AI governance reviews, DORA compliance assessments, BaFin examination preparation and remediation effectiveness reviews.
Whether your organisation is preparing for upcoming high-risk AI obligations, reviewing existing governance arrangements or addressing regulatory findings, we provide structured, practical and evidence-based support.
Identify the risks. Close the gaps. Demonstrate compliance.
Request an EU AI Act Readiness Assessment