Skip to main content
Contact
Submit RFP

      Our AI specialists bring end-to-end expertise for Financial Services

      Only organisations that integrate AI into their value creation processes in a secure, scalable and sustainable manner can unlock its full potential. With KPMG BlueCelerate AI, financial services institutions receive holistic support from a single source: technical, process and organisational AI expertise, extensive industry experience, and a clear focus on measurable and secure outcomes.

      Our multidisciplinary teams support the end-to-end integration of AI across your organisation. Benefit from our unique approach, which ranges from strategy consulting and technical AI development to transformation management, assurance expertise, and a Trusted AI approach for managing security and governance risks.

      From AI atrategy to business impact

      Discover how strategy, proven AI solutions and scalable implementation work together to establish trusted AI sustainably across your organisation.

      Interactive Service Architecture

      Click on a section to learn more

      AI Trust & Compliance

      We support you in establishing a secure and governable framework for the use of AI. Together, we embed regulatory requirements, clear accountability, risk-based governance mechanisms, effective controls, and technical safeguards into your operating model and AI solutions from the outset.

      Development of an AI governance framework with clear guardrails, accountabilities, and decision-making processes
      Preparation for regulatory requirements such as the EU AI Act, DORA, and GDPR
      Systematic identification, assessment, and active management of AI risks across the entire AI lifecycle
      Establishment of risk-based controls, approval processes, and monitoring mechanisms according to criticality and risk profile
      Integration of AI risks into existing risk management, control, and reporting processes
      Protection of AI applications against security risks, vulnerabilities, and potential misuse
      Creation of transparency through continuous monitoring, assurance, and reporting
      Embedding Responsible AI and compliance by design throughout the entire AI lifecycle

      Our approach

      The AI Blueprint combines KPMG’s experience from numerous projects and sets the market standard for AI advisory services. Our AI Blueprint takes a holistic, secure and efficient approach to AI adoption across banks, asset managers and insurance companies.

      We do not simply implement AI solutions successfully; we also establish the appropriate AI Target Operating Model. With our modular AI Blueprint, organisations can unlock the full potential of AI and measurably increase the business benefits generated by AI.

      Our service portfolio covers the full AI transformation journey: from strategy and organisation to governance, risk management and security, through to engineering, platforms and scalable operations.

      The challenge

      • AI initiatives are often not aligned.
      • The business value of AI is difficult to measure.
      • Clear responsibilities are often lacking.

      Our approach

      • Development of a clear AI strategy and roadmap.
      • Definition of an AI Target Operating Model.
      • Embedding AI across the organisation, processes and governance.

      The challenge

      • Regulatory requirements can be difficult to navigate.
      • Requirements arising from the EU AI Act, DORA and data protection regulations must be addressed.
      • A lack of transparency makes it difficult to manage risks.

      Our approach

      • Establishing a robust governance framework.
      • Integrating regulatory requirements into existing processes.
      • Implementing transparent control and oversight mechanisms.

      The challenge

      • AI systems introduce new security requirements.
      • Risks and vulnerabilities often remain undetected.
      • Productive operations require continuous monitoring.

      Our approach

      • Securing AI applications through appropriate protection mechanisms.
      • Introducing monitoring and reporting capabilities.
      • Establishing robust operational and control processes.

      The challenge

      • Many AI use cases remain stuck in the concept phase.
      • Potential opportunities are not consistently prioritised.
      • The path from idea to production-ready solution is often lengthy.

      Our approach

      • Identifying high-value AI solutions.
      • Developing AI applications and agents.
      • Rapid validation through prototypes and demos.

      The challenge

      • Existing system landscapes make AI adoption more complex.
      • Data sources and applications are often insufficiently connected.
      • A lack of standards limits reusability.

      Our approach

      • Building scalable AI platforms and architectures.
      • Integrating AI into existing systems and processes.
      • Leveraging reusable components and services.

      The challenge

      • Successful pilot projects are often not scaled.
      • Operating models do not grow at the same pace as AI adoption.
      • As a result, potential value remains untapped.

      Our approach

      • Building scalable operating and delivery models.
      • Introducing MLOps, LLMOps and AI operations capabilities.
      • Establishing professional lifecycle management from ideation through to operations.

      Our client case studies

      account_balance

      Frankfurter Bankgesellschaft

      From an AI pilot to a scalable enterprise AI organisation

      Establishing a group-wide operating model, including governance, a vision and enablement, to manage AI initiatives in a structured manner and embed them sustainably within the organisation.

      account_balance

      KfW IPEX-Bank

      Establishing an AI organisation and a bank-wide AI operating model

      Establishing a central AI Centre of Excellence within the CIO’s remit, as well as a bank-wide AI collaboration model, including governance structures, a target operating model and processes for managing and scaling the AI transformation.

      verified_user

      Diverse Insurance Clients

      Unlocking hidden recourse potential – using AI across the entire claims portfolio

      Fully automated AI screening of all claims for recourse, with fully traceable results. This ensures that even minor claims and a significantly greater number of grounds for recourse are identified. Recourse specialists work around 70 per cent more efficiently, and previously untapped recourse revenue is realised.

      Why clients choose us

      emoji_events

      Recognition

      Horizon 3 Market Leader for Agentic Services

      Learn more
      emoji_events

      Recognition

      Worldwide Leader in AI Services

      Learn more
      emoji_events

      Recognition

      Leading Provider of Cybersecurity Consulting Services in Europe

      Learn more

      Trusted in practice

      KPMG works with an extensive network of leading technology and service providers. Through our global alliance partnerships, we combine industry, transformation and technology expertise to help clients achieve their business objectives.

      Explore further insights