From buzz to business: Gen AI in Action

The financial sector is at a turning point with the rise of Generative AI, unlocking new possibilities while facing complex challenges. With increased operational demands and innovation pressure, financial institutions must harness GenAI strategically to remain competitive and resilient.

Regulators and market dynamics are accelerating the adoption of AI technologies, but the true value lies in moving beyond pilots to impactful, scalable solutions. Sopra Steria's latest study, based on real cases across Europe, reveals how banks are cutting through the hype to drive measurable business outcomes with GenAI.

What is GenAI really delivering in banking?

This exclusive report paints a clear picture:

  • What banks are actually implementing today
  • What works, and what holds projects back
  • Which use cases have matured and which are still exploratory

Since GenAI is evolving fast, this report offers data-driven insights and practical guidance to help you:

  • Navigate the operational efficiency gains targeted by 87% of initiatives
  • Understand why 48% of projects remain at pilot stage and how to go further
  • Learn from anonymized use cases and proven methodologies
  • Accelerate responsible and strategic GenAI adoption in your organization

What you will find in this report:

  • A detailed analysis of GenAI maturity and deployment across leading European banks
  • The main objectives driving GenAI efforts, with a focus on operational efficiency and innovation
  • Success factors, common pitfalls, and strategies to move from experimentation to commercial deployment
  • Real-world case studies delivered by Sopra Steria experts

Featuring insights from our Sopra Steria teams across Europe:

  • Practical examples and lessons learned from GenAI deployments
  • Thought leadership on pushing past the hype toward tangible business impact

Download our report and discover how to transform GenAI into a genuine competitive advantage for your financial institution.

Download the white paper: