AI Training & AI Literacy for Financial Services

Develop AI Literacy. Strengthen Regulatory Competence. Enable Responsible AI.

Artificial intelligence is transforming the financial services industry. Banks, insurance companies, asset managers, investment firms and payment institutions increasingly use AI for creditworthiness assessments, insurance underwriting, fraud detection, anti-money laundering, investment analysis, customer services and internal business processes.

These developments create opportunities for innovation and efficiency. They also introduce new responsibilities for management, employees and specialist control functions.

Financial institutions need personnel who understand how artificial intelligence works, recognise its opportunities and risks, and can apply relevant regulatory requirements in their day-to-day activities.

Article 4 of the European Union’s Artificial Intelligence Act (EU AI Act) requires providers and deployers of AI systems to take measures supporting the development of AI literacy among relevant personnel and other persons operating or using AI systems on their behalf.

The applicable approach should reflect the individuals’ technical knowledge, experience, education and training, the context in which AI systems are used and the persons potentially affected.

Leitner & Associates, a professional service of Andreas Leitner GmbH, provides specialist AI training and professional development for banks, insurance companies, asset managers, investment firms, leasing and factoring companies, payment institutions and other regulated financial services providers.

Our training programmes combine the EU AI Act, Germany’s AI Market Surveillance and Innovation Promotion Act (KI-MIG), DORA and relevant financial-sector requirements with practical examples of AI applications, governance and risk management.

We offer open seminars, in-house training, live webinars, eLearning and executive workshops, tailored to employees, senior management and specialist control functions.

Understand AI. Recognise the risks. Apply regulatory requirements.

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AI Literacy Under Article 4 of the EU AI Act

What Does the EU AI Act Require?

Article 4 of Regulation (EU) 2024/1689, as amended by Regulation (EU) 2026/1744, establishes an obligation for providers and deployers of AI systems to take measures supporting the development of AI literacy.

The provision has applied since 2 February 2025.

AI literacy encompasses the knowledge, skills and understanding needed to use and deal with artificial intelligence in an informed manner, including awareness of its opportunities, limitations, risks and potential adverse effects.

When determining appropriate measures, organisations must consider:

The AI systems being developed, provided or deployed
The intended purpose and context of those systems
The organisation’s role as an AI provider or deployer
The technical knowledge and experience of relevant personnel
Existing education, training and professional competence
The responsibilities of employees and other relevant persons
The risks associated with the AI systems concerned
The individuals and groups potentially affected by their use

Article 4 does not prescribe a single training programme, a fixed number of training hours, a universal annual refresher course or a specific external certification.

Nor does the provision require organisations to guarantee a particular level of AI literacy for every individual.

Nevertheless, financial institutions should establish appropriate measures reflecting the nature and risks of the AI applications they use.

A structured, role-specific training programme can support the implementation of these measures and provide useful evidence of the institution’s approach.

Why AI Literacy Matters in Financial Services

Artificial intelligence can influence decisions affecting customers, counterparties, employees and financial markets.

An employee using a generative AI assistant for internal documentation faces different risks from a credit officer reviewing an AI-generated creditworthiness assessment or an insurance specialist overseeing automated pricing decisions.

Similarly, Compliance Officers, Risk Managers, Information Security Officers and Internal Auditors require more specialised knowledge than employees using AI for routine administrative tasks.

Effective AI literacy therefore requires differentiated training based on responsibilities, AI applications and relevant risks.

Leitner & Associates helps financial institutions translate these requirements into practical training programmes that complement existing governance, risk management and compliance arrangements.

Discuss Your Article 4 AI Literacy Requirements

Our AI Training & Professional Development Programmes

1. AI Literacy for Financial Institutions — Article 4 EU AI Act

Foundational AI literacy training for employees and relevant personnel.

This programme introduces the fundamental concepts, opportunities, limitations and risks of artificial intelligence.

It is designed for employees and other persons who develop, operate, oversee or use AI systems on behalf of financial institutions.

Training topics include:

Introduction to artificial intelligence and machine learning
AI systems, AI models and generative AI
Common AI applications in financial services
Fundamental principles of the EU AI Act
AI providers, deployers and their responsibilities
Prohibited AI practices and relevant transparency obligations
AI-related operational, legal and compliance risks
Incorrect outputs, hallucinations and automation bias
Confidentiality, information security and personal data protection
Responsible use of AI assistants and generative AI
Human oversight, verification and escalation
Internal AI policies and acceptable-use requirements

Training content and depth are adapted to the participants’ responsibilities, existing knowledge and AI use cases.

Target audience: Employees, operational teams, relevant contractors and other persons involved in the use or operation of AI systems.

Typical deliverables: Training materials, participation records, optional knowledge assessments and certificates of attendance.

Your benefit: An organisation-specific foundation for AI literacy and the responsible use of artificial intelligence.

2. EU AI Act & KI-MIG Regulatory Training

Understand the European and German regulatory framework for artificial intelligence.

This specialist training provides a structured introduction to the EU AI Act, its regulatory requirements and implementation within financial institutions.

The programme also examines Germany’s KI-MIG and the role of the Federal Financial Supervisory Authority (BaFin) in AI market surveillance.

Training topics include:

Scope and objectives of the EU AI Act
Definition and classification of AI systems
Obligations of providers, deployers and other operators
Prohibited AI practices under Article 5
AI literacy requirements under Article 4
High-risk AI classification under Article 6
Transparency obligations under Article 50
Requirements for relevant high-risk AI systems
Fundamental rights impact assessments under Article 27
Regulatory documentation and record-keeping
German implementation through the KI-MIG
BaFin’s AI market surveillance responsibilities
Regulatory supervision and relevant enforcement provisions
Implementation deadlines and transitional arrangements

Target audience: Compliance Officers, Legal Departments, Risk Managers, Internal Auditors, AI Governance Specialists and management personnel.

Your benefit: A structured understanding of the applicable regulatory framework and its implications for financial institutions.

3. AI Governance & Risk Management Training

Develop the competence needed to establish, operate and oversee effective AI governance.

The use of artificial intelligence introduces additional requirements for organisational responsibilities, risk management, internal controls and management oversight.

This programme focuses on the practical governance and control of AI applications within regulated financial institutions.

Training topics include:

AI governance frameworks and organisational structures
Roles and responsibilities of management and control functions
AI policies, guidelines and internal procedures
AI system inventories and regulatory classification
AI risk identification, assessment and mitigation
Risk appetite and risk acceptance
Model governance, validation and monitoring
Data governance, quality and bias risk management
Human oversight and intervention
AI risk and control matrices
Internal control design and effectiveness
Third-party AI risk management
Management reporting and escalation procedures
Audit readiness and compliance documentation

Participants learn how AI-specific requirements can be integrated into existing governance, risk management and internal control systems.

Target audience: Risk Management, Compliance, Internal Control Functions, AI Governance Teams, ICT Management and business process owners.

Your benefit: Practical knowledge for the development and operation of risk-based AI governance frameworks.

4. AI Training for Senior Management & Supervisory Boards

Equip decision-makers with the knowledge needed to oversee AI strategy, risks and regulatory compliance.

Senior management and supervisory bodies play an important role in defining strategic objectives, overseeing material risks and ensuring appropriate organisational arrangements.

This programme provides a management-oriented overview of the opportunities and risks associated with artificial intelligence in financial services.

Training topics include:

Strategic opportunities and limitations of artificial intelligence
AI regulation and supervisory developments
Management responsibilities and governance arrangements
AI risk appetite and business risk considerations
Governance of material and high-risk AI applications
AI-related operational, ICT and third-party risks
Generative AI and external AI service providers
Human oversight and accountability
Management information and reporting
Regulatory readiness and internal audit findings
AI-related incidents and crisis management
Organisational implementation priorities

The programme focuses on management decisions, oversight responsibilities and practical governance rather than technical model development.

Target audience: Management Boards, Managing Directors, Supervisory Boards, Senior Executives and Heads of Business Functions.

Your benefit: A structured basis for informed decisions and effective oversight of artificial intelligence.

5. Generative AI & Large Language Model Training

Use generative AI responsibly while managing operational, regulatory and information security risks.

Generative AI and large language models are increasingly used for document analysis, regulatory research, customer communication, software development and productivity applications.

These technologies also introduce particular risks concerning inaccurate results, confidential information, personal data, third-party dependencies and inappropriate automated decision-making.

Our training addresses:

Generative AI and large language model fundamentals
Capabilities and limitations of AI assistants
Prompting principles and responsible use
Hallucinations, inaccurate outputs and verification
Automation bias and excessive reliance on AI
Confidentiality and information security
Personal data protection and GDPR considerations
AI acceptable-use policies
Human review and approval requirements
Risks associated with external AI platforms
AI-generated content and transparency considerations
Escalation of unexpected or harmful outputs

Practical exercises can be tailored to the organisation’s permitted AI tools and business processes.

Target audience: Employees using generative AI, business teams, Compliance, Risk Management, ICT, Information Security and management.

Your benefit: More informed and controlled use of generative AI in day-to-day operations.

6. High-Risk AI Compliance & Human Oversight Training

Prepare relevant personnel to understand and oversee high-risk AI systems.

Certain AI applications in financial services fall within the high-risk categories established by Annex III of the EU AI Act.

Relevant examples include AI systems intended for creditworthiness assessments of natural persons and certain risk assessment and pricing applications in life and health insurance, subject to the applicable conditions and exceptions.

When the relevant high-risk AI obligations apply, Article 26(2) requires deployers to assign human oversight to persons with the necessary competence, training, authority and support.

Our specialist training addresses:

High-risk AI classification and obligations
Provider and deployer responsibilities
Risk management and data governance
Understanding AI system capabilities and limitations
Interpretation and verification of AI outputs
Human oversight responsibilities and procedures
Detection of errors, anomalies and inappropriate outputs
Automation bias and discriminatory outcomes
Intervention, override and escalation procedures
Technical documentation and instructions for use
Monitoring and incident-related responsibilities
Fundamental rights and relevant impact assessments

Target audience: Credit Risk Officers, Lending Specialists, Insurance Underwriters, AI System Owners, Model Risk Managers, Compliance Officers and personnel responsible for human oversight.

Your benefit: Role-specific knowledge and practical competence for the oversight of relevant high-risk AI systems.

7. AI & DORA: ICT Risk Management Training

Understand and manage ICT risks arising from the development, deployment and operation of artificial intelligence.

The Digital Operational Resilience Act establishes requirements for ICT risk management and digital operational resilience for financial entities within its scope.

Under Article 13(6) DORA, financial entities must establish ICT security awareness programmes and digital operational resilience training as compulsory elements of staff training arrangements, subject to the applicable legal framework.

AI introduces specific ICT risks associated with model development, data processing, software dependencies, external providers, system vulnerabilities and operational monitoring.

Our training covers:

DORA requirements and their relevance to AI
AI-related ICT risk identification and assessment
ICT risk management and information security
AI system development and lifecycle risks
Access controls and data protection
ICT third-party risks and cloud-based AI services
Cybersecurity and model-related vulnerabilities
AI system monitoring and change management
ICT incident handling and escalation
Business continuity and operational resilience
Relevant regulatory documentation and controls
BaFin guidance on ICT risks associated with AI

Target audience: ICT Risk Managers, Information Security Officers, IT Management, Operational Risk, Compliance, Internal Audit and AI System Owners.

Your benefit: An integrated understanding of AI-related ICT risks and their treatment within applicable DORA arrangements.

8. AI in Anti-Money Laundering, KYC & Fraud Prevention

Understand the opportunities, limitations and compliance risks of AI-assisted financial crime prevention.

Artificial intelligence is increasingly used in transaction monitoring, customer due diligence, sanctions screening, fraud detection and financial crime risk analysis.

These applications can improve analytical capabilities and operational efficiency. However, they also introduce risks concerning data quality, false positives, model performance, insufficient explainability and inappropriate reliance on automated results.

Our specialist training covers:

AI applications in AML/CTF and fraud detection
AI-assisted customer due diligence and KYC
Transaction monitoring and alert generation
AI-supported financial crime risk assessments
Model performance, validation and monitoring
False positives and false negatives
Data quality and potential bias
Human oversight and decision-making
AI system governance and internal controls
Regulatory classification under the EU AI Act
Relevant AML/CTF and financial-sector requirements
Documentation and internal audit considerations

Target audience: Money Laundering Reporting Officers, AML/CTF Officers, Financial Crime Compliance Teams, Fraud Prevention, Risk Management and Internal Audit.

Your benefit: A practical understanding of AI-assisted financial crime controls and the governance needed for their responsible use.

9. AI Compliance & Internal Audit Training

Develop specialist competence for reviewing AI governance, regulatory compliance and control effectiveness.

Compliance functions and Internal Audit need to understand how AI applications are governed, which regulatory requirements apply and how relevant controls can be assessed.

This programme focuses on the practical evaluation of AI governance and risk management arrangements.

Training topics include:

AI-related regulatory obligations
AI governance and internal control frameworks
AI risk classification and assessment
Compliance monitoring and testing
AI-related audit planning
Regulatory requirements matrices
Control design and operating effectiveness
AI system inventories and documentation
High-risk AI compliance assessments
AI-related DORA reviews
Third-party AI service provider oversight
Audit findings and remediation measures
Management reporting and supervisory examination readiness

Target audience: Compliance Officers, Internal Auditors, Risk Controllers, Regulatory Affairs Specialists and relevant management functions.

Your benefit: Practical knowledge for conducting AI compliance reviews, governance assessments and internal audits.

Our AI Training Formats

Leitner & Associates offers flexible training formats designed to meet the requirements of individual professionals, specialist teams and financial institutions.

Open Seminars & Public Courses

Structured professional development for individual participants.

Our open seminars bring together professionals from banks, insurers and other financial institutions to examine EU AI Act requirements, AI governance, risk management and practical implementation questions.

Courses are designed around defined learning objectives and relevant financial-sector scenarios.

Suitable for: Individual Compliance Officers, Risk Managers, Internal Auditors, AI Governance Specialists and other professionals seeking structured training.

Enquire About Open Seminars

In-House AI Training

Institution-specific training based on your AI applications and regulatory requirements.

Our in-house programmes are tailored to the organisation’s business model, AI systems, governance arrangements and participants’ responsibilities.

Training can incorporate existing AI policies, approved use cases, internal control procedures and relevant regulatory findings.

Suitable for: Banks, insurers and financial services firms seeking coordinated training for management, specialist functions or employees.

Request an In-House Training Proposal

Live Webinars

Focused regulatory updates and specialist training delivered online.

Live webinars provide an efficient format for covering particular AI Act requirements, regulatory developments and specialist subjects.

Interactive discussion and practical examples can be included according to the programme.

Suitable for: Distributed teams, specialist functions and professionals requiring targeted regulatory updates.

Explore AI Compliance Webinars

AI eLearning

Scalable and repeatable AI literacy programmes for employees.

eLearning provides a flexible approach to delivering consistent AI literacy content across larger organisations.

Our eLearning solutions can be structured around introductory modules, role-specific content and practical knowledge checks.

Where agreed, programmes can be adapted to internal policies and supported by participation and completion records.

Suitable for: Financial institutions seeking scalable AI literacy initiatives and structured employee training programmes.

Enquire About AI Literacy eLearning

Executive Workshops

Focused AI governance and regulatory training for management bodies.

Executive workshops address strategic decisions, governance responsibilities, material risks and regulatory expectations.

They can incorporate institution-specific scenarios and management discussions.

Suitable for: Management Boards, Supervisory Boards and Senior Executives.

Request an Executive AI Workshop

Role-Based AI Literacy: The Right Training for Each Function

A single standardised course may not adequately address the different responsibilities and risks associated with AI systems.

We recommend a differentiated training approach that aligns learning objectives with organisational roles and actual AI use cases.

Target group	Training focus
All relevant employees	AI fundamentals, responsible use, limitations and internal policies
Senior management	Strategy, governance, oversight, accountability and material AI risks
Compliance & Legal	EU AI Act, KI-MIG, regulatory obligations and compliance controls
Risk Management	AI risk assessment, model risk, control frameworks and monitoring
Internal Audit	AI governance audits, control testing, documentation and remediation
ICT & Information Security	AI-related ICT risks, DORA, cybersecurity and third-party services
AI Developers & System Owners	AI lifecycle, classification, validation, governance and operating controls
Credit & Lending Functions	AI creditworthiness assessments, risk classification and human oversight
Insurance Functions	AI underwriting, pricing, claims and relevant high-risk applications
AML/CTF & Financial Crime	AI transaction monitoring, KYC, fraud detection and model governance
Investment & Asset Management	AI investment applications, model risk, oversight and compliance

The precise training requirements should be determined by the institution’s AI systems, staff responsibilities and applicable regulatory obligations.

AI Literacy Programmes: Documentation, Assessment & Compliance Evidence

Training should not be treated as an isolated event.

Financial institutions benefit from a structured approach that identifies relevant training needs, defines suitable learning objectives and maintains records of the measures undertaken.

Leitner & Associates supports organisations in developing and maintaining AI literacy programmes, including the associated documentation.

Our services and products include:

Training deliverable	Purpose
AI Literacy Policy	Define the institution’s approach to AI literacy and related responsibilities
AI Training Needs Assessment	Identify relevant target groups, AI use cases and competence requirements
AI Competency Matrix	Map learning objectives to roles and responsibilities
AI Training Programme	Define content, formats, target groups and learning objectives
Training Materials	Provide consistent, role-specific regulatory and practical content
Knowledge Assessments	Evaluate learning outcomes where appropriate
Training Attendance Register	Record participation in training activities
Certificates of Attendance	Confirm participation or completion of specified programmes
AI Training Management Report	Provide an overview of training measures and participation
Training Review & Update Plan	Support reassessment following relevant changes in systems, risks or regulation

These documents and assessments are practical compliance-management tools. Article 4 does not universally require all of them, nor does a certificate of attendance establish legal compliance by itself.

The appropriate level of documentation depends on the organisation’s circumstances and applicable requirements.

AI Training for Banks, Insurers and Financial Services

Our training programmes reflect the different regulatory frameworks, business processes and AI applications found throughout the financial services industry.

Banks & Credit Institutions

EU AI Act training, AI literacy, creditworthiness assessments, AI governance, model risk, AML/KYC, fraud prevention, generative AI and relevant integration with banking regulation and DORA.

Insurance Companies

AI literacy and governance training covering underwriting, insurance pricing, claims management, fraud detection and relevant high-risk AI systems in life and health insurance, taking account of applicable insurance supervision requirements.

Fund Management Companies & Asset Managers

AI training for portfolio management, investment research, investment decision support, financial modelling, risk management and compliance.

Investment Firms & Financial Services Providers

Training concerning AI in investment advice, trading, client services, compliance and risk management, taking account of relevant investment services regulation.

Leasing & Factoring Companies

AI literacy and specialist training for credit analysis, receivables management, fraud detection, contract review and operational automation.

Payment & Electronic Money Institutions

Training covering AI in payment services, transaction monitoring, fraud detection, customer communication, financial crime prevention and ICT risk management.

FinTech, RegTech & AI Solution Providers

Training for AI providers and technology teams covering regulatory classification, provider responsibilities, high-risk AI requirements, relevant documentation, lifecycle management and compliance controls.

Our Approach to AI Literacy Programme Implementation

We support financial institutions from training needs assessment to programme delivery, documentation and ongoing development.

Step 1 — Assess Training Needs

Identify relevant AI systems, user groups, existing knowledge, responsibilities and regulatory requirements.

Outcome: Training needs assessment and prioritised target groups.

Step 2 — Design the Programme

Define learning objectives, programme content, delivery formats and suitable knowledge assessment methods.

Outcome: Institution-specific AI literacy and training programme.

Step 3 — Deliver Training

Provide open seminars, in-house courses, webinars, eLearning or management workshops, according to the agreed scope.

Outcome: Role-specific instruction supported by practical financial-sector examples.

Step 4 — Document Participation

Maintain training records and, where agreed, conduct knowledge assessments and issue certificates of attendance.

Outcome: Structured evidence of the training measures undertaken.

Step 5 — Review & Update

Reassess training needs when AI applications, organisational responsibilities, associated risks or relevant regulatory requirements change.

Outcome: An ongoing approach to AI literacy appropriate to the institution’s circumstances.

Why Leitner & Associates?

Specialist Regulatory Expertise for Financial Services

Leitner & Associates focuses on Governance, Risk & Compliance in the regulated financial services industry.

Our training programmes combine EU AI Act requirements with relevant financial-sector governance, risk management and supervisory frameworks.

Practical Training Based on Financial-Sector Applications

We use examples from banking, insurance, investment services, payments and financial crime prevention to connect legal requirements with practical responsibilities.

Role-Specific Learning

We distinguish between the training needs of employees, management, specialist control functions and personnel operating or overseeing AI systems.

Training & Regulatory Implementation Expertise

Our professional experience combines regulatory consulting, governance, risk management, compliance and the development and delivery of professional training.

This enables us to connect training with the organisation’s existing policies, procedures, responsibilities and controls.

Experienced Professional Leadership

Leitner & Associates is led by Andreas Leitner, whose career includes positions at Deloitte, BNP Paribas and Allianz, together with extensive experience in compliance, anti-money laundering, risk management and professional training.

Leitner & Associates is a professional service of Andreas Leitner GmbH.

Learn more at https://leitnerassociates.com.

Frequently Asked Questions About AI Training & AI Literacy

Is AI literacy mandatory under the EU AI Act?

Article 4 of the EU AI Act requires providers and deployers of AI systems to take measures supporting the development of AI literacy among relevant personnel and other persons dealing with AI systems on their behalf.

The provision has applied since 2 February 2025.

The measures should reflect the relevant individuals’ knowledge, experience, responsibilities and context of AI use.

Does Article 4 require mandatory AI training for every employee?

Article 4 does not prescribe a universal training course for every employee.

Organisations must determine appropriate AI literacy measures based on the AI systems used, relevant roles, existing competence and associated risks.

Training may form an important part of these measures, alongside internal guidance, practical instruction and other appropriate initiatives.

Is an AI literacy certificate required by law?

No. Article 4 does not require a specific external AI literacy certificate or mandatory certification programme.

Certificates of attendance and completion records may nevertheless be useful as evidence of the training activities undertaken.

They do not, by themselves, establish compliance with every applicable AI Act requirement.

Is annual AI refresher training mandatory?

Article 4 does not prescribe a universal annual refresher course.

However, organisations should reassess their AI literacy measures when relevant circumstances change, including the introduction of new AI applications, changes to existing systems, emerging risks or regulatory developments.

Separate training requirements under other applicable legislation may also need to be considered.

What AI training should senior management receive?

Management training should reflect the institution’s AI strategy, risk profile, governance responsibilities and use of AI systems.

Relevant subjects may include AI regulation, risk management, governance, human oversight, third-party dependencies, operational resilience and management reporting.

What training is required for high-risk AI systems?

Where the relevant requirements apply, Article 26(2) requires deployers of high-risk AI systems to assign human oversight to persons with the necessary competence, training, authority and support.

Training should therefore address the specific AI system, its capabilities and limitations, applicable oversight procedures, the interpretation of outputs and intervention responsibilities.

Does DORA require employee training?

Yes. Article 13(6) DORA requires financial entities within its applicable scope to establish ICT security awareness programmes and digital operational resilience training as compulsory components of staff training arrangements.

AI-related ICT risks should be considered within these programmes where relevant.

These DORA obligations are distinct from the general AI literacy provisions of Article 4 of the EU AI Act.

Does BaFin supervise AI literacy under the EU AI Act?

Germany’s KI-MIG assigns BaFin market surveillance responsibilities for specified AI systems directly connected with regulated financial activities involving designated supervised financial institutions.

The relevant supervisory responsibilities depend on the statutory scope and applicable requirements.

Financial institutions should therefore be prepared to explain their AI governance and AI literacy measures where these fall within the relevant supervisory remit.

Can AI literacy training be delivered through eLearning?

Yes. eLearning can be an appropriate way to provide AI literacy content, particularly where financial institutions need consistent delivery across larger or geographically distributed teams.

The suitability of eLearning depends on the subject matter, target group, existing competence and the complexity and risks of the AI systems involved.

Specialist or high-risk applications may warrant additional practical instruction.

Can AI training be combined with existing compliance training?

Yes. AI literacy content can be integrated into existing compliance, risk management, information security and regulatory training arrangements.

However, organisations should consider whether specialist modules are needed for particular AI applications, responsibilities or regulatory requirements.

What documentation should financial institutions maintain?

Institutions may maintain AI literacy policies, training needs assessments, learning objectives, training materials, attendance records and relevant knowledge assessments.

The appropriate records depend on the organisation’s circumstances and applicable obligations. Article 4 itself does not impose one universal documentation or certification format.

Can Leitner & Associates develop a complete AI literacy programme?

Yes. We support financial institutions with training needs assessments, role-specific programme design, training delivery, learning materials, competency matrices and relevant participation records.

Training programmes can be integrated into existing governance and professional development arrangements.

Develop AI Literacy Across Your Financial Institution

Does your organisation have appropriate measures to support AI literacy among employees, management and specialist control functions?

Leitner & Associates provides EU AI Act training and AI literacy programmes designed specifically for banks, insurers, asset managers, investment firms, leasing and factoring companies, payment institutions and other regulated financial services providers.

Whether you require an introductory AI literacy course, specialist regulatory training, executive workshops or a structured organisation-wide eLearning programme, we support the development of practical, role-specific training arrangements.

Build AI competence. Understand regulatory responsibilities. Strengthen AI governance.

Enquire About AI Training & AI Literacy

Request an In-House Training Proposal

Explore Our Open Seminars & eLearning Programmes