Subvolts take Workato explains how to build a secure, scalable "agentic enterprise" with measurable AI ROI. Oct 16, 2025 - Developers
- Learn how to integrate and manage AI agents within enterprise workflows for automation and governance.
- Business
- Understand how to move AI from pilots to production, achieve measurable ROI, and build a scalable "agentic enterprise."
This episode offers practical insights into enterprise AI implementation from a key vendor, focusing on scalable deployment and ROI.
#294 Bhaskar Roy: How Workato Is Building the Rise of the Agentic Enterprise
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Eye on AI episode #294 features Bhaskar Roy from Workato discussing how enterprises can build an "agentic enterprise." The conversation explores moving AI from experiments to production with measurable ROI, focusing on designing, orchestrating, and governing AI agents at scale. They cover Workato's approach to a unified workspace where agents automate business processes, emphasizing orchestration, permissions, and human oversight for durable business value.
This episode explains how companies can use AI "agents" to automate tasks and improve business operations. It covers how to manage these AI helpers safely and effectively, so they deliver real value to the company.
This episode is for business leaders and IT professionals looking to implement AI beyond pilot projects. It details Workato's strategy for creating an "agentic enterprise," where AI agents automate complex business processes. Listeners will learn how to design, manage, and govern these agents at scale, ensuring security and measurable ROI. This connects to frontier labs' current focus on practical enterprise AI deployment and the need for robust orchestration layers to manage diverse AI capabilities.
- HostCraig S. Smith
- GuestBhaskar RoyWorkato
- Guest: Bhaskar Roy from Workato
- Show: Eye on AI
- Episode Number: #294
- Length: 57 minutes
- Sponsor: Oracle OCI
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How are enterprises moving from AI experiments to a true agentic enterprise with measurable ROI?
In this episode of Eye on AI, host Craig Smith speaks with Bhaskar Roy from Workato about how organizations can design, orchestrate, and govern AI agents at scale without sacrificing security or control. Together they unpack Workato's approach to building a single workspace for employees while agents and apps work behind the scenes to automate real business processes.
They explain why the future of enterprise AI depends on orchestration, permissions, and human in the loop design. You will hear how Workato One and Workato Go bring connectivity, action, and governance into one stack, how teams assign KPIs to agents and track outcomes, and how to reduce agent sprawl while optimizing SaaS spend.
Learn how leading companies are defining the agentic enterprise, what pitfalls to avoid when moving from pilots to production, and how to measure impact across sales, IT, support, HR, and finance so AI drives durable business value.
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- agentic enterprise
- Bhaskar Roy (Workato)
- A business where AI agents proactively handle tasks and processes.
- orchestration
- Bhaskar Roy (Workato)
- Coordinating multiple AI agents or software tools to work together.
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Questions people ask
- How can enterprises move AI from experiments to production?
- Enterprises can move from AI experiments to a true agentic enterprise by designing, orchestrating, and governing AI agents at scale without sacrificing security or control.
- What is Workato's approach to the agentic enterprise?
- Workato builds a single workspace for employees where agents and apps work behind the scenes to automate real business processes, emphasizing orchestration, permissions, and human in the loop design.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Craig S. Smith.