From pilot to production: scaling AI across financial services
The challenge is no longer finding another use case. It is scaling the ones that matter.
24–25 March 2027 Munich, Germany
Europe's AI summit for banking, insurance and payments
FINOVAI 2027 brings the leaders of European banking, insurance and payments together to turn AI from a portfolio of pilots into a secure, scalable and measurable enterprise capability.
150+ senior leaders from Europe's banks, insurers and fintechs
The challenge is no longer finding another use case. It is scaling the ones that matter.
85%+
of banks under ECB supervision already use AI
European Central BankWork at a bank, insurer or payments company? Tell us about your role, and the team will be in touch about attending.
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Why act now
The question is no longer whether to adopt AI. It is how to move from isolated pilots to governed, production-grade capability across the institution. That is the work FINOVAI 2027 is built around.
85%+
of banks under ECB supervision already use AI
European Central Bank
14%
see AI as transformational to their strategy and competitive advantage
Cambridge Centre for Alternative Finance, 2026
86%
of European bank leaders believe AI will fundamentally reshape retail banking by 2030
Visa research, 2026
52%
of surveyed financial-services firms are already adopting agentic AI
Cambridge Centre for Alternative Finance, 2026
The programme
The programme follows the path every institution is on. Choose the stage you're at to see the themes built for it.
Generative AI proved it could write, summarise, search and assist.
Beyond the chatbot — natural language connected to real financial workflows.
The next advantage is not faster journeys. It is smarter ones.
Pilots accumulate across fraud, service, compliance, marketing and risk.
Detect faster. Decide smarter. Protect customers without unnecessary friction.
From isolated AI tools to connected, intelligent insurance workflows.
Explainability, model risk, resilience and accountability move to the centre.
Governance as an enabler of responsible innovation, not a barrier to it.
Performance alone is not enough when AI influences financially significant decisions.
An AI strategy is only as strong as the infrastructure supporting it.
Data quality, legacy integration and operating models decide what survives.
The challenge is no longer finding another use case. It is scaling the ones that matter.
The question is not which jobs go. It is how work itself gets redesigned.
AI becomes a secure, measurable enterprise capability, not a portfolio of pilots.
Systems that plan, use tools and complete multi-step workflows within defined boundaries.
From “we are experimenting with AI” to “here is the value, and here is how we measure it”.
Who should attend
From banks, insurers, payment providers and fintechs across Europe: the people who own the AI mandate and answer for the risk.
Speakers
25+ speakers from Europe's banks, insurers and fintechs. See all speakers
Product Owner, IT Infrastructure & Platform Management
Head of Technology Accelerator


EMEA Data Science Director


Global Product Manager, Cognitive AI & Advanced Data Capturing Services
Head of AI & DevOps at Workspace
Cluster Lead Business Connectivity


Head of Financial Crime Risk, Customer Decisioning

AI Transformation Leader
Showing 8 of 9 speakers
Why attend
Practical lessons from institutions that have already moved AI into production, and the people deciding what happens next.
How institutions are approaching AI adoption, governance, customer transformation and operational execution. Practical lessons rather than predictions.
Senior executives responsible for AI strategy, digital transformation, technology, risk, compliance, operations and customer experience.
Solutions across conversational and agentic AI, fraud prevention, intelligent automation, customer engagement and financial infrastructure.
How peers are approaching AI maturity, enterprise deployment, governance, infrastructure and ROI.
Technology providers and innovators helping financial institutions move from experimentation to execution.
Event information
Keynotes, panels and case studies on the main stage, with time set aside for meeting the people you came to see.
Insights
What it takes to run AI in banking, insurance and payments. Read all insights
Questions
Can't find your answer? Ask the team and we'll reply within one working day.
FINOVAI 2027 is a European AI summit for banking, insurance and payments, focused on the practical transition from AI experimentation to secure, scalable and measurable enterprise deployment.
FINOVAI 2027 takes place on 24–25 March 2027 in Munich, Germany. The venue will be announced shortly, and ticket holders are told first.
AI in banking, conversational AI, agentic AI, customer experience, AI governance, fraud prevention, intelligent insurance, explainable AI, human and AI collaboration, secure AI infrastructure and the business value of AI.
Senior decision-makers including Chief AI Officers, CIOs, CTOs, CDOs, innovation, data, AI and machine learning leaders, customer experience executives, risk and compliance leaders, operations executives and digital transformation leaders.
The financial institution pass is for people who work at banks, insurers, payment providers and other financial institutions. Technology vendors, consultancies and service providers book the solution provider pass, which also includes the delegate list.
Yes. Choose "Pay by invoice" at checkout and we'll email your invoice straight away. Card payments are confirmed immediately.
Yes. Name changes are free until 1 March 2027. Email us with the order reference and your colleague's details.
AI adoption across European banking is already widespread. The ECB reports that more than 85% of banks under its supervision use AI, while Visa's 2026 research found that 86% of European bank leaders believe AI will fundamentally reshape retail banking by 2030.
AI systems that pursue defined objectives by planning and executing multiple steps, using tools and interacting with connected systems within defined permissions and controls. Potential applications include customer service, fraud investigation, onboarding, operations, compliance and transaction workflows.
Not necessarily. The most valuable model is likely to combine AI-driven automation with human judgement. AI can handle increasingly complex tasks while people remain responsible for decisions that require accountability, empathy, judgement or regulatory oversight.
All sessions are held in English.
24–25 March 2027. Join 150+ senior leaders working out how to run AI safely at scale.