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      Alliance or obsolescence: How banks can win with an AI-driven ecosystem

      As customer expectations evolve at an unprecedented pace, banks face a pivotal choice: adapt through innovation or risk falling behind.

      The latest KPMG thought leadership explores how banks can thrive by embracing artificial intelligence (AI) within dynamic partner ecosystems, moving beyond internal capabilities to deliver “everything, everywhere, all at once”. 


      Download our report for more

      Alliance or obsolescence: How banks can win with an AI-driven ecosystem

      (PDF, 5.3MB)

      The imperative for ecosystem collaboration

      Traditional banking models are being reshaped by the need for agility, personalisation, and operational efficiency. Banks can no longer rely solely on in-house resources to meet rising demands.

      Instead, strategic collaboration with specialised partners enables banks to offload noncore functions, focus investment where it matters most, and scale from isolated pilots to enterprise-wide execution.

      AI is not the endgame, but a powerful enabler—helping banks match the speed and personalisation of fintechs while unlocking new levels of efficiency and customer value. 


      AI’s role in banking today

      Currently, banks are leveraging AI primarily in the back office, automating routine tasks such as data entry, fraud detection, compliance monitoring, and financial forecasting.

      These initiatives drive cost savings and productivity gains—70% of US banking leaders report significant cost savings from AI implementations. Yet, real transformation requires reimagining processes end-to-end, supported by the right investments and partnerships.

      Larger banks may focus on competitive distinction, while smaller banks can partner to access capabilities beyond their reach. A flexible partner ecosystem allows banks of all sizes to selectively invest, distribute risk, and scale what matters most. 


      From back office to front office:
      The AI journey

      The journey to full AI enablement is about more than efficiency—it’s about setting new standards for customer engagement. AI agents, ranging from simple automation tools to sophisticated orchestrators, are transforming banking operations.

      Class 1 agents streamline repetitive tasks; Class 2 agents collaborate across ecosystems; Class 3 agents orchestrate complex operations, leveraging adaptive networks of AI entities and amplifying capabilities through strategic partnerships. 


      Building the right partner ecosystem

      Banks can consider a wide array of potential AI partners:


      • Technology providers

        Deliver cutting-edge AI tools and platforms.

      • Fintechs

        Offer tailored customer experiences and real-time insights.

      • Cloud service providers

        Enable scalable, secure AI infrastructure.

      • Consulting firms

        Align technology decisions with business priorities.

      • Data suppliers

        Fuel AI algorithms with rich datasets.

      • Regulatory experts

        Ensure compliance with evolving regulations.    

      • Integration specialists

        Connect AI solutions with legacy systems.

      • Cybersecurity firms

        Protect AI systems from threats.

      • Customer experience experts

        Enhance user engagement.

      • Academic institutions

        Drive research and innovation. 


      Machine learning: The unsung hero

      Machine learning is evolving as an indispensable part of the AI ecosystem, providing robust tools for risk assessment, credit scoring, and customer segmentation. Partners bring specialised expertise to develop and refine these models, helping banks address complex challenges and regulatory demands.


      Transforming key banking processes

      AI-centric partnerships are revolutionising payments, KYC, and mortgage applications:


      • Payments

        Tech giants and retailers are entering financial services, raising the bar for convenience and security. Banks must offer seamless, user-friendly experiences to compete, with AI-based payment solutions projected to rise sharply.

      • KYC

        Collaboration with fintechs and technology leaders enhances regulatory compliance, expedites onboarding, and improves transaction verification. AI-powered agents deliver more human-like customer service and tailored recommendations.

      • Mortgages

        Partners bridge technological gaps, enabling banks to automate document management, accelerate risk assessment, and offer efficient mortgage services. Predictive analytics and AI-driven underwriting complement human judgment, improving customer experience and loyalty. 


      Overcoming risks: Five key strategies

      To unlock full value from AI-centric ecosystems, banks must balance innovation with risk management:


      • Strengthen third-party risk management

        Implement frameworks to identify, mitigate, and monitor risks, focusing on high-impact areas.

      • Align on cybersecurity

        Invest in robust measures to safeguard AI systems and customer data, especially when integrating with partners.

      • Enhance data privacy protocols

        Establish shared accountability and advanced data management practices to ensure data quality and compliance.

      • Coordinate on regulatory compliance

        Develop flexible frameworks to navigate complex global regulations, using AI to monitor changes and identify gaps.

      • Establish mutual compliance policies

        Create shared protocols for transparency, risk monitoring, and regular audits, evolving frameworks as AI applications advance. 


      The KPMG advantage

      KPMG combines advanced technology, deep experience, and operational excellence to help banks evolve through both internal efforts and partner ecosystems.

      Our teams accelerate and sustain transformation journeys, minimising disruption and risk. We help identify partners, develop strategies, and balance innovation with intentional risk management.

      Our AI-enabled platform for organisational change, including the KPMG TACO Framework™ and Intelligent Modernisation Toolkit, supports rapid modernisation and migration, reducing delivery costs and improving efficiency across the software development lifecycle. 


      Partnering for a promising future

      Strategic partnerships are the foundation of successful AI-driven transformation in banking. By engaging a diverse ecosystem of partners, banks can evolve into AI-centric enterprises that meet customers where they are.

      The possibilities are expansive and transformative, from building digital-first operations to rebranding for a modern, customer-centric identity. By prioritising risk management, cybersecurity, data privacy, and compliance, banks can accelerate towards a customer-focused, AI-powered future.


      Your business, our focus

      If you have any queries about building an AI-driven partner ecosystem, modernising your banking operations, or navigating the risks and opportunities of AI adoption, please contact our team.

      We’d be delighted to help you unlock the full potential of AI for your organisation.

      Owen Lewis

      Partner, Head of AI & Velocity, Head of Banking & Capital Markets, Global Lead for Financial Services Cost Transformation

      KPMG in Ireland

      Rory Timlin

      Partner, Technology Consulting

      KPMG in Ireland

      Alan Lavery

      Managing Director, Applied Intelligence, GenAI Lead

      KPMG in Ireland


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