In this episode of Re(AI)magine Conversations, Shailesh Potdar, SVP Intelligent Business Automation at Persistent Systems, is joined by Robert Love, Product Manager for GenAI and Orchestration at UiPath, to explore how enterprises can scale agentic automation from isolated pilots to production-grade, outcome-driven workflows.
The conversation opens with a clear reality check. Many organizations have proven that AI-driven automation works in controlled environments, yet most initiatives fail to progress beyond the proof-of-concept stage. Shailesh identifies this as the “POC trap,” where use cases lack clear business ownership, measurable ROI, and a governance model that supports long-term scale.
From there, the discussion shifts to the operating model required for enterprise adoption. The speakers outline the critical role of the Automation Center of Excellence in defining governance, establishing RACI frameworks, and ensuring that every agentic initiative is tied to a business owner, a technical owner, and a three-year total cost of ownership model. They emphasize that governance, when designed correctly, becomes an accelerator that enables a trusted path from idea to production rather than a barrier to innovation.
Auditability and resilience form another key theme. Robert explains why AI decisions and actions must be fully traceable, particularly in regulated industries such as banking and healthcare. The conversation highlights the need for fallback mechanisms, human-in-the-loop design, and business continuity planning to ensure that autonomous workflows remain reliable at scale.
A practical example of AI-driven claims processing brings these concepts to life. The speakers describe how agents can read and classify emails, extract data from documents and images, validate policies, detect potential fraud, and route complex cases to humans, all within an orchestrated workflow that spans multiple systems. This illustrates the broader shift from task-based automation to outcome-centric orchestration.
Case management emerges as the structural backbone for scaling these capabilities. By providing shared context, visibility, and progress tracking across agents, bots, and people, it enables transparent and accountable automation across enterprise processes.
The episode concludes with a forward-looking perspective on the next three to five years of intelligent automation. Enterprises will move from process-centric automation to systems that understand intent, adapt to context, and coordinate actions across core business platforms. In this model, orchestration, not individual models, becomes the primary driver of measurable business value.
Tune in to learn how leading organizations are building the governance, ownership, and architectural foundations required to scale agentic automation responsibly and turn isolated pilots into enterprise outcomes.
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Contact us at podcasts@persistent.com.
Speakers
Shailesh Potdar, SVP Intelligent Business Automation, Persistent Systems
Robert Love, Product Manager for GenAI and Orchestration, UiPath
