Financial institutions worldwide are shifting from isolated AI experiments to widespread organizational deployment, according to a new World Economic Forum (WEF) report. Titled The AI Playbook for Financial Services and developed in partnership with Accenture, the publication stresses that while AI promises major efficiency and customer gains, its successful scaling now depends heavily on proper governance, human oversight, and earned public confidence.
The WEF research report draws on 18 months of discussions and interviews involving more than 150 senior executives from over 100 organizations across Hong Kong, London, New York, and Singapore.
It concludes that leading firms are no longer content with pilot projects. Instead, they are embedding AI more deeply while simultaneously strengthening the underlying systems required for responsible growth.
A central theme is the rise of agentic AI—autonomous systems capable of executing transactions, managing deposits, and making financial decisions with limited human intervention.
These capabilities introduce new questions around accountability and transparency.
As institutions hand greater responsibility to intelligent agents, customers, regulators, and employees will judge success not solely by technological sophistication but by how reliably and fairly these systems operate in their interests.
The WEF emphasizes that trust is evolving from a supporting element into the core competitive advantage.
Organizations that fail to demonstrate clear oversight and explainability risk eroding confidence precisely when AI becomes most visible to end users.
Real-world examples illustrate both the potential and the practical hurdles.
Kasikorn Business-Technology Group generated more than 200 ideas and 60 minimum viable products through its AI efforts.
Eight of these initiatives have now scaled across the business, delivering an estimated 30,000 workdays in savings and boosting productivity in administrative, documentation, and analytical tasks by between 20% and 59%. Similarly,
Mastercard’s Consumer Clarity program improved data accuracy by 15%, cut processing time by 87%, and reduced costs by 92%.
To help institutions navigate this transition, the WEF research report presents a Framework for Transformational AI built around four interconnected actions:
- Establish a clear strategic vision with explicit board-level accountability.
- Develop strong data foundations, technology infrastructure, and governance mechanisms that enable safe scaling.
- Pursue quick productivity and customer-experience wins while investing in longer-term structural change.
- Transform workforce capabilities, processes, and organizational culture to support new ways of working.
Experts contributing to the report highlight the dual focus required for lasting impact.
Successful organizations capture near-term value through operational improvements and enhanced customer experiences while building the data, governance, and technological bedrock needed for secure expansion.
Long-term differentiation, they note, will come less from having the most advanced models and more from using AI to deepen trusted customer relationships.
The publication calls for greater and meaningful collaboration among financial firms, policymakers, and regulators to address shared risks around data privacy, algorithmic fairness, and systemic stability.
Building on the World Economic Forum’s earlier 2025 white paper on AI in financial services, this playbook offers practical guidance for organizations at every stage of their AI journey.
As financial services enter this more mature phase of AI adoption, the institutions positioned to lead will be those that treat responsible governance and workforce readiness as integral to technological progress rather than afterthoughts. The research report from WEF underscores that sustainable value creation in the AI era requires balancing innovation speed with deliberate attention to trust and accountability.
