As the world continues to move toward fully autonomous workflows, the use of agentic AI is the next wave of AI innovation in 2026 and beyond.
The evolution of agentic AI represents a shift away from copilots and focuses on proactive agents that can operate various workflows across the entire company. These systems combine reasoning, memory, and planning to perform complex tasks with minimal human intervention. So, how can agentic AI be deployed in a safe, responsible, and profitable way?
Agents are already transforming business functions such as finance, supply chain, CX, and IT to deliver measurable efficiency at unprecedented scale. From model-monitoring and governance to ROI measurement and human-AI collaboration, agentic AI is harnessing the practical foundations of autonomy.
Join us for this Agentic AI Summit on January 15, 2026, where top minds in AI innovation will explore:
The shift from assistive copilots to fully autonomous AI agents marks a defining moment in enterprise transformation. In 2026, organizations are moving beyond “AI assistance” to deploy systems that can reason, plan, and act independently across entire workflows. Agentic AI is reshaping business models, decision-making, and productivity across every channel and companies are tasked with scaling these intelligent systems responsibly.
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As enterprises embrace agentic AI, the emerging discipline of AgentOps – the practice of managing, monitoring, and governing AI agents – has become a strategic priority. Effective oversight is critical to ensuring transparency, reliability, and ethical operation within autonomous systems. Therefore, it is important to stay abreast of the evolving standards and frameworks for safe AI deployment and balancing automation with human oversight. The integration of humans and AI agents within modern workflows is creating a new model of collaboration, accountability, and continuous learning across the enterprise.
In this timely panel discussion, you will learn:
Agentic AI Asset Lead - Public Markets
Agentic AI represents not just a technological evolution but a fundamental rethinking of enterprise value creation. As autonomous systems take on increasingly complex roles, leaders are redefining how success is measured while balancing efficiency, compliance, and strategic impact. Quantifying the ROI of agentic automation requires new metrics that reflect both operational outcomes and ethical performance. Forward-looking organizations are adopting adaptive governance models and continuous evaluation techniques to ensure that agentic systems remain aligned with business goals and societal expectations.
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