Post by Virtusa

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The enterprise software era gave us a clear model. Build an application for each function. Trigger the workflow. Let people manage the handoffs. But now, that model is starting to show its limitations. With AI agents now part of enterprise systems, the weaknesses of application-focused architectures are quickly becoming clear. These agents span multiple services, gather information from many sources, and require real-time responses. Systems built for slower, step-by-step human work were not made for this kind of activity. The fourth edition of Enterprise: Rewired by Virtusa examines what it really takes to move from applications to orchestration and how this change affects how enterprises are built, managed, and operated. In this edition, you'll find: - Why application modernization is the prerequisite for agentic AI, not an optional step - How moving from workflows to orchestration affects your choices about platforms, software, and automation investments - Why context and governance need to be embedded into orchestration systems, not managed externally - What you need to do to enable ongoing coordination across different systems - How leading customer-focused companies use orchestration to deliver empathy on a large scale Organizations that succeed in scaling AI won't do it just by adding more models. They'll succeed by rethinking how their systems work together, are managed, and get things done. Subscribe to Enterprise: Rewired by Virtusa to keep up with the series. #VirtusaEnterpriseRewired #AgenticAI #EnterpriseAI #AIStrategy #DigitalTransformation #Orchestration

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