AI Consulting & Implementation for Financial Services
EU AI Act Consulting | AI Governance | AI Risk Management | DORA Integration | High-Risk AI Compliance
From Regulatory Requirements to Effective AI Governance
Artificial intelligence is transforming the financial services industry. Banks use AI for creditworthiness assessments, fraud detection and anti-money laundering. Insurance companies deploy AI for underwriting, risk assessment, pricing and claims management. Asset managers, investment firms and payment institutions increasingly rely on AI for investment analysis, transaction monitoring, customer interactions and operational processes.
These developments create opportunities for innovation and efficiency. They also introduce significant challenges for governance, risk management, regulatory compliance and internal controls.
The European Union’s Artificial Intelligence Act (EU AI Act), Germany’s AI Market Surveillance and Innovation Promotion Act (KI-MIG), the Digital Operational Resilience Act (DORA) and existing financial-sector regulations establish an increasingly complex regulatory framework for the development, procurement, deployment and use of artificial intelligence.
Financial institutions must translate regulatory requirements into appropriate organisational structures, clearly defined responsibilities, documented processes and effective controls.
Leitner & Associates, a professional service of Andreas Leitner GmbH, provides specialist AI Consulting & Implementation services for banks, insurance companies, asset managers, investment firms, leasing and factoring companies, payment institutions and other regulated financial services providers.
We support financial institutions throughout the implementation process — from AI system inventories and regulatory classification to AI governance frameworks, risk management, internal controls, compliance documentation and operational implementation.
Our approach integrates AI-specific requirements into existing governance, risk management and compliance arrangements.
Establish AI governance. Manage AI-related risks. Implement regulatory requirements.
Request an AI Consulting Consultation
EU AI Act Consulting: What Financial Institutions Need to Implement
The EU AI Act (Regulation (EU) 2024/1689), as amended by Regulation (EU) 2026/1744, introduces a risk-based regulatory framework for artificial intelligence.
The applicable obligations depend on factors including the intended purpose of the AI system, its regulatory classification and whether the organisation acts as a provider, deployer or another operator.
For financial institutions, implementation requires consideration of the EU AI Act alongside existing regulatory requirements.
Germany’s KI-MIG designates the Federal Financial Supervisory Authority (BaFin) as the competent market surveillance authority for specified AI systems directly connected with regulated financial activities involving financial institutions within the statutory scope.
At the same time, financial entities subject to DORA must address AI-related information and communication technology (ICT) risks within their ICT risk management and digital operational resilience arrangements.
Relevant financial-sector requirements may also arise under the German Banking Act (KWG), MaRisk, the Insurance Supervision Act (VAG), Solvency II, the German Investment Code (KAGB), the Securities Trading Act (WpHG), the Investment Firms Act (WpIG), the Payment Services Supervision Act (ZAG) and other applicable legislation.
The challenge is not simply to understand these requirements. It is to establish an integrated AI governance framework that works within the organisation’s existing regulatory environment.
Leitner & Associates translates regulatory obligations into practical governance arrangements, processes, controls and documentation tailored to the institution’s business model and risk profile.
Our AI Consulting & Implementation Services
1. AI Strategy & Governance Framework
Establish clear responsibilities, effective oversight and appropriate organisational structures for artificial intelligence.
Financial institutions require governance arrangements that define how AI systems are selected, approved, developed, implemented, monitored and controlled.
Our AI Governance Consulting services support the development and implementation of institution-specific AI governance frameworks.
We assist with AI strategies, governance policies, organisational responsibilities, management oversight, decision-making processes and reporting structures.
Particular attention is given to the allocation of responsibilities between management bodies, business units, Compliance, Risk Management, Information Security, ICT, Data Protection and Internal Audit.
Where appropriate, we integrate AI governance into existing governance frameworks, internal control systems and risk management arrangements rather than establishing unnecessary parallel structures.
Key deliverables: AI governance framework, AI strategy, organisational and responsibilities matrix, AI governance policy, approval framework and management reporting concept.
Your benefit: Clearly defined responsibilities and a structured governance framework for the responsible, controlled and compliant use of artificial intelligence.
2. AI System Inventory & Regulatory Classification
Identify your AI applications and determine which regulatory requirements apply.
An effective AI compliance framework begins with a reliable understanding of the AI systems developed, procured, deployed or used by the organisation.
Financial institutions may operate AI systems across credit decisions, insurance, investment management, financial crime prevention, customer services and internal administration.
Some applications may qualify as high-risk AI systems under the EU AI Act, while others are subject to different regulatory requirements.
We support the establishment of a structured AI inventory and classification methodology.
Our consulting services address the identification of AI systems, assessment of intended purposes, determination of provider and deployer roles, classification under the EU AI Act and documentation of applicable regulatory obligations.
We also develop processes to maintain the inventory throughout the AI system lifecycle, including new use cases, material changes and decommissioning.
Key deliverables: AI system inventory, AI classification methodology, regulatory applicability assessments, provider/deployer responsibilities matrix and classification register.
Your benefit: A transparent and documented overview of AI applications, their regulatory classifications and the requirements applicable to your organisation.
3. AI Risk Management & Internal Control Systems
Identify, assess, manage and monitor AI-related risks within your existing risk management framework.
Artificial intelligence introduces risks that may affect regulatory compliance, operational resilience, financial performance, customers and the organisation’s reputation.
Relevant risks can include inaccurate or unreliable outputs, model failures, inappropriate automation, data quality deficiencies, discriminatory outcomes, insufficient human oversight, cybersecurity vulnerabilities and excessive reliance on third-party providers.
We support financial institutions in developing and implementing appropriate AI risk management methodologies and internal controls.
Our consulting services cover AI risk identification, assessment criteria, risk classification, risk acceptance, mitigation measures, control design, monitoring procedures and management reporting.
We also assist with integrating AI-related risks into existing enterprise risk management and internal control systems, taking account of applicable financial-sector requirements.
Our approach distinguishes between controls required by specific regulatory provisions and additional risk management measures appropriate to the institution’s circumstances.
Key deliverables: AI risk management framework, AI risk assessment methodology, AI risk register, risk and control matrix, control descriptions and management reporting templates.
Your benefit: A consistent, risk-based approach to managing AI applications, supported by documented decisions and operational controls.
4. AI Policies, Procedures & Compliance Documentation
Translate regulatory obligations into clear policies, documented processes and usable compliance instruments.
Regulatory implementation requires more than identifying legal requirements. Institutions need documentation that defines responsibilities, establishes operating procedures and demonstrates how controls are applied.
Leitner & Associates develops and implements AI governance and compliance documentation tailored to the organisation.
Our services include drafting and adapting AI strategies, policies, guidelines, procedures, process descriptions, checklists, forms, registers and reports.
Typical documentation covers acceptable AI use, generative AI, regulatory classification, risk assessments, AI approval processes, human oversight, data governance, model validation, change management, third-party AI providers, incidents and ongoing monitoring.
We support the approval, introduction and operational integration of these documents into the institution’s governance framework.
Key deliverables: AI governance policies, operating procedures, process descriptions, assessment templates, control documentation, registers and compliance reporting tools.
Your benefit: Consistent, practical and auditable documentation that supports day-to-day operations and regulatory compliance.
5. High-Risk AI Compliance Implementation
Implement the additional requirements applicable to relevant high-risk AI systems.
The EU AI Act identifies certain artificial intelligence applications as high-risk.
Within the financial services industry, Annex III includes AI systems intended to assess the creditworthiness of natural persons or establish their credit scores, subject to the applicable conditions and the financial fraud detection exception.
It also includes AI systems intended for risk assessment and pricing concerning natural persons in life and health insurance.
High-risk AI systems may be subject to additional requirements covering risk management, data governance, technical documentation, record-keeping, transparency, human oversight, accuracy, robustness, cybersecurity and monitoring.
The allocation of responsibilities depends on whether the institution acts as a provider, deployer or another relevant operator.
Leitner & Associates supports the assessment and implementation of these requirements, including the development of governance arrangements, operating procedures, controls and compliance evidence.
Where applicable, we assist with fundamental rights impact assessments under Article 27 of the EU AI Act, including identifying affected groups, assessing potential impacts, documenting safeguards and developing appropriate mitigation measures.
We also support institutions in determining the relationship between relevant AI Act requirements and existing financial-sector obligations.
Key deliverables: High-risk AI requirements matrix, implementation plan, risk management documentation, human oversight procedures, fundamental rights impact assessment documentation where required, and compliance evidence register.
Your benefit: A structured implementation of applicable high-risk AI requirements, with responsibilities, controls and documentation aligned to the institution’s role.
6. Generative AI & Large Language Model Governance
Enable the controlled use of generative AI, large language models and AI assistants.
Generative AI is increasingly used in financial institutions for document analysis, customer communications, software development, knowledge management, regulatory research and internal productivity.
These applications introduce specific risks associated with confidential information, personal data, inaccurate outputs, inappropriate reliance on automated results and external AI service providers.
We help institutions establish governance arrangements for the responsible use of generative AI and large language models.
Our consulting services address acceptable-use policies, approval procedures, use-case assessments, information handling, human review, access restrictions, third-party risk management, monitoring and incident escalation.
We also support the development of controls for AI-assisted decision-making, including clear responsibilities and appropriate human oversight.
Where relevant, our assessments consider the distinction between obligations applicable to providers of general-purpose AI models and those applicable to organisations deploying AI systems built upon such models.
Key deliverables: Generative AI policy, AI acceptable-use guidelines, use-case approval process, risk assessment templates, human review procedures and monitoring framework.
Your benefit: A structured approach to introducing generative AI while managing regulatory, operational and information security risks.
7. AI & DORA Implementation
Integrate AI-related ICT risks into your existing digital operational resilience framework.
The development, procurement and operation of AI systems create ICT risks that must be addressed under DORA where the regulation applies to the financial entity.
In December 2025, BaFin published non-binding guidance on ICT risks arising from the use of artificial intelligence in financial institutions.
The guidance considers AI-related ICT risks throughout the lifecycle, including data acquisition, model development, deployment, operation and decommissioning.
Leitner & Associates supports financial institutions in integrating relevant AI risks into their ICT risk management arrangements.
Our consulting services cover AI-related ICT asset identification, information security, access management, development and change controls, operational monitoring, incident handling, business continuity and resilience.
We also assist with the implementation of risk-based governance for external AI services, cloud-based models and other ICT third-party dependencies.
Key deliverables: AI-related ICT risk assessments, DORA integration plan, ICT control documentation, AI system lifecycle procedures, incident and continuity arrangements, and relevant third-party risk documentation.
Your benefit: Integrated AI and ICT risk management that builds on existing DORA processes and supports a consistent digital operational resilience framework.
8. AI Third-Party Risk & Outsourcing Management
Maintain control over externally developed and cloud-based AI solutions.
Financial institutions increasingly rely on external software providers, cloud services, AI platforms and foundation models.
These arrangements can create dependencies involving information security, data processing, model availability, service continuity, contractual rights and regulatory accountability.
We support the implementation of AI third-party risk management arrangements appropriate to the organisation’s regulatory status and the services involved.
Our consulting services address supplier classification, due diligence, regulatory responsibilities, risk assessments, contractual controls, monitoring arrangements, relevant subcontracting risks and exit planning.
For financial entities subject to DORA, we support the integration of relevant AI-related ICT services into existing ICT third-party risk management processes.
We also assist with distinguishing the responsibilities of AI providers and deployers under the EU AI Act from those arising under contractual and financial-sector requirements.
Key deliverables: AI supplier due diligence questionnaires, third-party risk assessments, contractual requirements checklists, monitoring procedures, responsibilities matrices and exit planning documentation.
Your benefit: More effective governance of external AI services, reduced operational dependencies and clearer allocation of responsibilities.
9. AI Lifecycle Management, Monitoring & Incident Response
Establish controls across the entire AI system lifecycle.
AI governance must remain effective after the initial approval and implementation of an AI system.
Systems may change through model updates, new training data, modified configurations, additional use cases or changes in external service providers.
Such developments may affect regulatory classifications, risk assessments and the effectiveness of existing controls.
We support institutions in implementing lifecycle governance from initial use-case assessment through development, procurement, validation, approval, deployment, monitoring and decommissioning.
Our consulting services cover operational monitoring, model performance review, change management, incident escalation, reassessment triggers, documentation updates and reporting processes.
Where applicable, we also assist with procedures for serious-incident reporting and other AI Act obligations.
Key deliverables: AI lifecycle management framework, approval and change procedures, monitoring plans, incident escalation procedures, reassessment criteria and management reporting templates.
Your benefit: Continuous control over AI applications as systems, business requirements and regulatory obligations evolve.
10. AI Regulatory Remediation & Implementation Programmes
Turn identified compliance deficiencies into completed and documented corrective actions.
AI compliance assessments, internal audits and supervisory examinations may reveal deficiencies in governance, risk management, documentation and control effectiveness.
Correcting these deficiencies requires coordinated implementation, clear responsibilities and measurable progress.
Leitner & Associates supports financial institutions in designing and executing AI compliance remediation programmes.
Our services include translating findings into corrective actions, identifying root causes, prioritising measures, allocating responsibilities, establishing implementation milestones and coordinating relevant business and control functions.
We also support the development and implementation of revised policies, procedures, risk assessments and internal controls.
Key deliverables: Regulatory remediation roadmap, corrective action plan, implementation tracker, revised governance documentation, control implementation evidence and management status reporting.
Your benefit: A structured implementation programme designed to address identified deficiencies and establish sustainable governance and control arrangements.
AI Consulting Deliverables: From Policies to Operational Controls
Our consulting engagements are designed to produce practical, institution-specific results.
Depending on the agreed scope, typical deliverables include:
| Deliverable | Purpose |
|---|---|
| AI Strategy & Governance Framework | Define strategic objectives, responsibilities and oversight |
| AI System Inventory | Record and maintain AI applications and use cases |
| Regulatory Classification Matrix | Identify applicable AI Act requirements |
| AI Risk Assessment Methodology | Establish consistent identification and evaluation of AI risks |
| AI Risk & Control Matrix | Map risks and regulatory obligations to internal controls |
| AI Policies & Guidelines | Establish governance principles and operating rules |
| AI Procedures & Process Descriptions | Document approval, development, deployment and monitoring processes |
| High-Risk AI Compliance Documentation | Implement additional requirements where applicable |
| Fundamental Rights Impact Assessment | Document required assessments under Article 27, where relevant |
| AI & DORA Integration Framework | Incorporate AI-related ICT risks into existing DORA arrangements |
| AI Third-Party Risk Framework | Control external AI service providers and dependencies |
| Generative AI Governance Policy | Establish appropriate controls for AI assistants and large language models |
| Implementation Roadmap | Define priorities, owners, milestones and dependencies |
| Management Reporting Framework | Support oversight, monitoring and regulatory evidence |
Our objective is to deliver not only the documentation but also the organisational processes and controls needed to put it into practice.
AI Governance Consulting for Banks, Insurers and Financial Institutions
AI-related regulatory requirements and implementation priorities vary according to the institution’s business model, regulatory status and use of artificial intelligence.
Banks & Credit Institutions
We support banks in implementing AI governance frameworks for creditworthiness assessments, lending, anti-money laundering, fraud detection, risk management, customer services and generative AI.
Our consulting services consider applicable requirements under the EU AI Act, DORA, KWG, MaRisk and related banking regulation.
Insurance Companies
We assist insurance companies in establishing AI governance and risk management arrangements for underwriting, pricing, claims management, fraud detection and customer services.
Particular attention is given to relevant high-risk AI applications involving risk assessment and pricing in life and health insurance, as well as applicable VAG, Solvency II and insurance governance requirements.
Fund Management Companies & Asset Managers
We support AI governance and regulatory implementation for portfolio management, investment research, financial modelling, investment decision support, risk management and compliance.
Our services take account of applicable requirements under the KAGB, relevant European legislation and the institution’s existing governance framework.
Investment Firms & Financial Services Providers
We develop AI governance arrangements for investment advice, investment services, trading support, customer interaction, risk management and compliance.
Relevant requirements may include MiFID II, WpHG, WpIG and associated regulatory frameworks.
Leasing & Factoring Companies
We support the governance and control of AI applications used in credit analysis, receivables management, contract processing, residual value estimation, fraud detection and operational automation.
Our approach reflects the institution’s specific business model and regulatory status.
Payment & Electronic Money Institutions
We help implement AI governance for payment monitoring, transaction analysis, anti-money laundering, fraud detection, customer service and relevant ICT third-party risks.
Our services consider applicable requirements under the EU AI Act, DORA, ZAG and relevant payment services legislation.
FinTech, RegTech & AI Solution Providers
We support technology providers developing or supplying AI systems to regulated financial institutions.
Our services address AI Act applicability, provider responsibilities, high-risk AI compliance, relevant technical documentation, lifecycle controls and post-market obligations.
Our AI Consulting & Implementation Methodology
We follow a structured, risk-based implementation approach designed to integrate regulatory requirements into existing business and control processes.
Step 1 — Assess & Classify
We identify AI applications, determine the organisation’s regulatory status and operator roles, evaluate relevant obligations and establish implementation priorities.
Outcome: AI inventory, regulatory classification, applicability assessment and implementation scope.
Step 2 — Design the Governance Framework
We develop the organisational arrangements, responsibilities, methodologies, policies and control framework required for the institution’s AI activities.
Outcome: AI governance framework, role allocation, risk assessment methodology, policy architecture and control design.
Step 3 — Develop Policies, Procedures & Controls
We translate the governance framework into documented operating procedures, risk assessments, approval processes, registers and internal controls.
Outcome: Implementation-ready documentation, process descriptions, risk and control matrices and compliance instruments.
Step 4 — Implement & Embed
We support the introduction of new arrangements into day-to-day operations, coordinate the relevant business and control functions and assist with staff training and implementation milestones.
Outcome: Operational governance processes, assigned control responsibilities, implementation evidence and management reporting.
Step 5 — Monitor & Improve
We help establish monitoring, reassessment and continuous improvement arrangements, including processes for regulatory changes, AI system modifications and emerging risks.
Outcome: Monitoring framework, management information, reassessment processes and an ongoing improvement plan.
From regulatory analysis to practical implementation — with governance, processes and controls tailored to your institution.
EU AI Act Implementation Timeline: Preparing for the Next Regulatory Milestones
The EU AI Act applies progressively, with important implementation dates amended by Regulation (EU) 2026/1744.
2 February 2025 — AI Literacy and Prohibited AI Practices
The original provisions concerning AI literacy and prohibited AI practices became applicable.
2 August 2026 — General Application
The EU 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
Relevant Chapter III requirements become applicable to AI systems classified as high-risk under Article 6(2) and Annex III, subject to applicable exceptions and transitional provisions.
2 August 2028 — Annex I Product-Related High-Risk AI Systems
Relevant Chapter III requirements become applicable to AI systems classified as high-risk under Article 6(1) and Annex I, subject to applicable exceptions and transitional provisions.
Other requirements may have specific application dates or transitional arrangements.
Financial institutions should use the available implementation period to identify relevant AI systems, establish governance structures, implement controls and prepare the required documentation.
Discuss Your EU AI Act Implementation Programme
Why Leitner & Associates?
Financial-Sector Regulatory Expertise
Leitner & Associates specialises in Governance, Risk & Compliance within the regulated financial services industry.
Our consulting approach combines knowledge of the EU AI Act and KI-MIG with an understanding of existing financial-sector governance and supervisory requirements.
Integration Instead of Parallel Structures
We focus on integrating AI governance into existing organisational arrangements, risk management systems, internal controls and ICT governance frameworks.
This approach helps reduce duplication while addressing AI-specific regulatory requirements.
Practical Implementation & Audit-Ready Documentation
We translate regulatory obligations into clear responsibilities, documented procedures, usable risk assessments and operational controls.
Our deliverables are designed to support management oversight, internal control processes, internal audit and regulatory examinations.
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 implementation.
Our work is tailored to the requirements of financial institutions rather than generic technology projects.
Leitner & Associates is a professional service of Andreas Leitner GmbH.
Learn more: https://leitnerassociates.com
Frequently Asked Questions About AI Consulting & Implementation
What is EU AI Act consulting?
EU AI Act consulting supports organisations in identifying, interpreting and implementing the regulatory requirements applicable to their AI systems.
Services may include regulatory classification, AI governance design, risk management, internal controls, policies, procedures, high-risk AI compliance and ongoing monitoring.
The objective is to translate regulatory requirements into practical organisational and operational arrangements.
How should banks and financial institutions implement the EU AI Act?
Implementation should begin with identifying the AI systems used by the organisation and determining the relevant regulatory requirements.
Institutions should then assess existing governance arrangements, allocate responsibilities, establish appropriate policies and controls, address identified gaps and implement ongoing monitoring.
The scope and depth of implementation depend on the organisation’s role, AI applications, risk profile and regulatory status.
Does every financial institution need an AI governance framework?
Financial institutions must meet the governance, risk management and control requirements applicable to their activities.
The EU AI Act does not universally require every institution to create a separate, standalone AI governance framework or appoint a dedicated AI Officer.
However, a documented governance approach can help institutions allocate responsibilities and coordinate compliance with applicable AI-specific and financial-sector requirements.
Is an AI system inventory mandatory?
The EU AI Act does not impose one universal inventory requirement covering every AI application used by every organisation.
However, an AI system inventory is a practical foundation for identifying regulated applications, assessing obligations, allocating responsibilities and maintaining effective governance.
Specific record-keeping, documentation and registration obligations may apply to particular systems or operators.
How does the EU AI Act interact with DORA?
The EU AI Act addresses matters such as AI risk classification, prohibited practices, transparency, high-risk AI requirements and relevant operator responsibilities.
DORA establishes applicable requirements for ICT risk management, digital operational resilience and ICT third-party risk within the financial sector.
AI systems and related ICT services may therefore require controls under both frameworks.
We support institutions in coordinating these requirements within their existing governance arrangements.
Do financial institutions have to conduct fundamental rights impact assessments?
Not every AI application requires a fundamental rights impact assessment.
Article 27 requires specified deployers to assess the fundamental rights impacts of certain high-risk AI systems before their first use.
This includes relevant deployers of high-risk AI systems in specified creditworthiness and life and health insurance categories.
The applicability of the requirement must be determined for each system and operator.
What is the difference between AI consulting and an AI compliance audit?
An AI compliance audit evaluates existing arrangements against applicable requirements and identifies deficiencies.
AI Consulting & Implementation focuses on designing, developing and implementing the governance structures, policies, processes, risk assessments and controls needed to address those requirements.
Both services can complement one another, subject to appropriate independence arrangements where assurance is required.
Can existing governance, risk management and compliance processes be used?
Yes. Existing organisational structures, internal control systems, risk management arrangements, ICT security processes and third-party oversight can provide the foundation for AI governance.
Financial institutions should assess whether additional AI-specific responsibilities, procedures and controls are required.
Our implementation approach prioritises integration into existing frameworks wherever appropriate.
Can AI governance implementation be outsourced?
External specialists can support the development and operational implementation of AI governance arrangements, subject to applicable contractual, regulatory and outsourcing requirements.
However, engaging external consultants does not automatically transfer an institution’s statutory responsibilities or management accountability.
How long does an EU AI Act implementation project take?
Implementation depends on the number and complexity of AI systems, the organisation’s regulatory status, existing governance maturity and the extent of required changes.
An initial, clearly scoped programme may focus on AI inventories, regulatory classification, responsibilities and essential policies. More complex projects may also require high-risk AI controls, third-party arrangements, lifecycle processes, testing and extensive remediation.
A structured implementation plan establishes the necessary workstreams, priorities and milestones.
Implement AI Governance That Works in Practice
Does your financial institution have the governance structures, policies, procedures and internal controls needed to manage artificial intelligence in accordance with applicable regulatory requirements?
Leitner & Associates supports banks, insurance companies, asset managers, investment firms, leasing and factoring companies, payment institutions and other financial services providers in the implementation of effective AI governance and compliance frameworks.
Whether you are establishing AI governance for the first time, integrating AI-related risks into DORA, implementing high-risk AI requirements or addressing identified compliance deficiencies, we provide structured and practical support.
From regulatory obligations to operational implementation.
Request an AI Consulting Consultation
Discuss Your AI Governance Project