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From Automation to Autonomy: AI-Native Workflow Generation with Multi-Agent Systems
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From Automation to Autonomy: AI-Native Workflow Generation with Multi-Agent Systems

Fri, April 24 at 12:10 PM - 12:40 PM GMT+5:30ArchitectureDeepTech TechLead

As enterprises scale automation, rule-based workflows struggle with fragmentation, exceptions, and evolving logic. Low-code tools accelerate development but remain brittle under ambiguity.

This session explores the evolution of Cygnus, Target's enterprise automation platform, which uses a multi-agent architecture for structured, policy-aware workflow generation. Attendees will learn how multi-agent systems enable adaptive workflow creation and how AI-generated workflows can remain compliant, auditable, and production-ready.

What You Will Learn

  • How multi-agent systems enable adaptive and structured workflow generation
  • How AI-generated workflows can remain compliant, auditable, and production-ready
  • Challenges of scaling automation beyond rule-based and low-code approaches

Who Should Attend

  • Software developers
  • Software and enterprise architects
  • Platform engineers
  • Automation and workflow engineers
  • Technology leaders building AI-driven enterprise systems

< speaker_info />

About the speaker

Sharath Kumar

Sharath Kumar

Director – Technology, Target in India

Sharath Kumar Sagi leads platforms focused on automation and process intelligence at Target in India, driving innovation and efficiency at scale. Sharath has been in Target for over two decades, responsible for a diverse set of roles across the U.S. and India. His experience spans tech for multiple domains including finance, merchandising, transportation, conversational platforms, and automation, giving him a well-rounded perspective on enterprise technology and business operations in a retail setting.

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