SET Training - Banking and Fintech

By Stanley Epstein -  Why 2026 Is the Inflection Point for Enterprise AI Agents — and Why Governance Will Decide the Winners -  Artificial intelligence agents are moving from pilot projects to production systems at remarkable speed. In 2026, the conversation is no longer about experimentation. It is about deployment, infrastructure, and control. This shift represents more than a technology upgrade. It signals a structural change in how organizations think about automation, decision-making, and productivity. But acceleration brings new risks alongside measurable gains. The Enterprise Shift When Jensen Huang, CEO of Nvidia, recently described enterprise adoption of AI agents as “skyrocketing,” he linked the surge directly to explosive demand for compute infrastructure. The implication is clear. Companies are not simply testing AI tools. They are building the backbone for agentic systems capable of planning, reasoning, and acting with increasing autonomy. This aligns with forwar...

By Stanley Epstein Artificial intelligence is no longer an experimental technology confined to innovation labs. It is embedded in credit decisions, fraud monitoring, customer service workflows, supply chain optimization, and marketing engines. Yet many organizations remain stuck in pilot mode. They run proofs of concept, showcase promising demos, and celebrate incremental wins. But few succeed in turning isolated experiments into enterprise-wide capabilities that consistently improve customer outcomes and operational performance. The difference lies not in algorithms, but in integration. This article examines how institutions move beyond AI hype and embed AI into operational workflows in ways that create measurable customer value at scale. From Experiments to Enterprise Capabilities Most organizations begin with AI pilots. A chatbot here. A fraud detection model there. A predictive churn model in marketing. According to McKinsey & Company , while AI adoption has accelerated globall...