In our new Agentic Foundations webinar series, we’re diving deep into all things agentic starting at the ground floor. Whether you’re already off to a strong start or if you’re struggling to get PoC’s into production, this series is designed to address the core challenges of implementing Agentic AI and provide actionable insights you can put into play.
Ashling and UiPath kicked off the Agentic Foundations series with a bold look at intelligent business process orchestration, digging into ways that real leaders have harnessed humans, robots, and AI agents together for enterprise transformation.
The central lesson is clear — success in intelligent automation isn’t about isolated bots or siloed AI, but building a cohesive, governed digital fabric across all your enterprise actors. As Marshall Sied shared, “You need process orchestration and you need process intelligence. But they are not the same… [though] they are very, very interconnected.”
This means your automation strategy must support constant learning and adaptation. Standardized frameworks like BPMN 2.0 allow you to swap human-in-the-loop activity for agent steps as business needs shift, while composable integration across platforms maximizes flexibility and future-proofs your investment.
Continuous process intelligence powers ongoing discovery, simulation, and improvement, revealing hidden bottlenecks and opportunities for change. With full audit trails, transparency, and robust governance, your digital enterprise achieves not just speed, but trust and resilience at scale.
Don’t miss the next session, “Agentic Foundations: AI Economics, Operating Model & Change Management,” featuring Marshall and Brad Hairston from SS&C BluePrism. We’ll dive into the economic realities and change management techniques that turn AI innovation into true enterprise impact.
Explore the on-demand recording for even deeper insight, or connect with us for tailored guidance on your automation journey. Ashling is here to help unlock enterprise agility and move your organization forward.