Conference Description
Key Takeaways
- Focused on Agentic AI systems capable of autonomous decision-making in banking, insurance, and fintech
- Addresses the transition from AI experimentation to production-ready autonomous operations
- Covers regulatory alignment including EU AI Act compliance and AI governance frameworks
- Designed for senior executives, technology leaders, and decision-makers in financial services
- Explores risk management, fraud detection, explainability, and operational autonomy
Introduction
The Agentic Automation in Finance Nordics Summit brings together senior financial services professionals in Stockholm to examine how autonomous AI systems are reshaping banking, insurance, and fintech operations. As financial institutions move beyond pilot programmes toward production-scale deployment of AI-driven automation, the summit addresses the technical, regulatory, and strategic challenges that accompany this transition. The timing reflects growing industry pressure to operationalise Agentic AI whilst navigating evolving compliance requirements, including the EU AI Act.
About This Event
Part of the broader DXB Summit series, this Nordic edition concentrates specifically on Agentic AI—systems designed to make autonomous, adaptive decisions rather than simply executing predefined rules. The programme combines keynote presentations, expert panels, live technology demonstrations, and case studies drawn from real-world implementations. Held at the Elite Hotel Marina Tower in Stockholm, the event facilitates direct engagement between financial institutions, technology providers, and industry specialists working at the intersection of artificial intelligence and financial operations.
From Automation to Autonomous Operations
The summit’s central theme examines the evolution from traditional automation—where systems follow scripted workflows—to genuine operational autonomy, where AI agents can assess situations, make decisions, and adapt their behaviour without constant human intervention. This distinction carries significant implications for how financial institutions structure their operations, manage risk, and maintain regulatory compliance.
Discussion topics span the technical infrastructure required to support autonomous systems, including LLMOps practices, cloud-native architectures, and multi-agent orchestration. The programme also addresses observability challenges that emerge when AI systems operate with greater independence, and how organisations can maintain meaningful oversight without undermining the efficiency gains that autonomy provides.
Risk, Compliance, and Explainability
Financial services operate under stringent regulatory scrutiny, making the governance of autonomous AI systems particularly complex. The summit dedicates substantial attention to how institutions can build trust and accountability into AI-driven decision-making processes. This includes ensuring explainability—the ability to understand and articulate why an AI system reached a particular conclusion—which becomes increasingly difficult as systems grow more sophisticated.
Regulatory alignment features prominently, with specific focus on the EU AI Act and its implications for financial institutions deploying high-risk AI applications. The programme explores how compliance workflows themselves can be enhanced through intelligent automation, whilst ensuring that the AI systems performing these functions meet the transparency and accountability standards that regulators require.
Fraud Detection and Adversarial Threats
As financial institutions deploy more capable AI systems, they simultaneously face adversaries using similar technologies. The summit addresses this dual challenge, examining how Agentic AI can strengthen fraud detection and risk management whilst also considering the emerging threat landscape where AI-driven attacks require AI-powered defences. This arms race dynamic shapes both the technical requirements and the strategic priorities for financial services technology leaders.
Emerging Technologies on the Horizon
Beyond current production systems, the programme touches on emerging technologies that may influence the next generation of financial AI, including quantum computing applications and neurosymbolic AI approaches that combine neural networks with symbolic reasoning. These forward-looking discussions help attendees understand the trajectory of the field and prepare for capabilities that remain several years from mainstream adoption.
Who Should Attend
The summit targets senior leaders responsible for technology strategy, data governance, risk management, and operational transformation within financial institutions. This includes C-level executives, heads of automation and AI, chief data officers, and leaders overseeing compliance and technology functions. The audience extends to professionals from banks, credit unions, insurance companies, investment firms, and fintech organisations, as well as technology vendors and consultants serving the financial services sector.
Industry Context
The financial services industry finds itself at an inflection point where the capabilities of AI systems have advanced faster than many organisations’ ability to deploy them responsibly at scale. While generative AI has captured headlines, the more fundamental shift toward agentic systems—capable of sustained autonomous operation—presents both greater opportunities and more complex governance challenges. This summit addresses the practical realities of navigating that transition in a heavily regulated industry where the consequences of AI failures extend beyond operational disruption to systemic risk and regulatory sanction.