Agentic commerce moved from feature to production in barely eighteen months - from AI-assisted purchasing in early 2025 to the first production-grade agentic transaction run on full banking rails in June 2026. But the infrastructure underneath is still fragmented: at least half a dozen competing protocols govern identity, authorization, and payment - and the platforms actually processing agent transactions haven't converged on any of them.

From the standards that can bind an agent to accountable identity, the platforms that process its transactions, and the frameworks that would assign liability when one goes wrong, this roundtable convenes financial institutions, payment processors, standard-setting bodies, and compliance and enforcement bodies to discuss what each party would need to adopt, require, or share to close the trust gap, and on what timeline.

The discussion will use concrete examples to test and refine trust principles for agentic commerce, including what evidence would demonstrate them in practice, what should be tested or benchmarked before an agent is trusted to transact, and what different actors would need to recognise across protocols and jurisdictions.

The next phase of AI in finance will not be defined by better models alone, but by institutions that can successfully embed AI into regulated business processes at scale. From compliance and risk management to customer servicing and agentic finance, AI is creating new opportunities to transform how financial services are designed, delivered and supervised. As institutions explore frontier AI capabilities, the challenge is no longer just building AI solutions, but operationalising them responsibly while maintaining trust, resilience and accountability.
 
Many financial institutions face similar challenges in developing, evaluating and deploying AI, yet often tackle them independently. Through BuildFin.ai, financial institutions, technology providers and research institutes are collaborating to develop and scale frontier AI capabilities within established regulatory and risk management frameworks. This includes the development of the MindForge AI Risk Management Toolkit, which provides practical guidance, industry case studies and implementation insights, as well as the SAFR (Safeguards for Agentic Finance at Runtime) framework, which explores safeguards for AI-enabled financial activities. This roundtable brings together members of the BuildFin.ai community and industry leaders to exchange lessons from the front lines of AI deployment and discuss how collaboration can help accelerate the responsible adoption of AI across financial services.

Financial institutions have moved beyond AI experimentation to early deployment across client engagement, operations, risk management, compliance and investment workflows. As adoption accelerates, the challenge is no longer whether to use AI, but how to embed it across the enterprise in ways that deliver measurable business value. Success will require more than technology deployment. It will depend on how institutions redesign workflows, develop talent, evolve operating models and integrate AI into day-to-day decision-making and execution.
 
Building on the momentum of PathFin.ai, which has engaged over 500 financial institutions and AI FinTechs, this roundtable brings together industry leaders to share lessons from AI adoption at scale. Participants will discuss how institutions are translating AI investments into productivity gains and business outcomes, preparing their organisations for increasingly agentic operating models, and balancing innovation with accountability, resilience and trust. The discussion will also explore the partnerships, capabilities and industry resources needed to accelerate enterprise-wide AI transformation across the financial sector.