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Real-World Use Cases: AI That Works

In: Architecting Enterprise AI Strategies

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  • Rajnish Harjika

Abstract

In the previous chapter, we traced the anatomy of intelligence—its infrastructures, ethical foundations, and the patterns through which data gains coherence. Every enterprise that constructs such an architecture eventually reaches a point where design must enter experience. Once flows are defined and governance finds its form, intelligence begins to act. This chapter follows that movement from structure to agency, from systems that represent to systems that participate. We now inhabit a landscape shaped by agentic intelligence, where AI evolves from a reactive tool into a reasoning collaborator. These systems think alongside us, pursuing objectives, negotiating uncertainty, and retaining context across time. They signal the enterprise’s passage from command to coordination, from automation to accompaniment. Through them, architectures acquire vitality and consistency, forming living ecologies of cognition. The evolution from architecture to agency is as much behavioral as it is technological.

Suggested Citation

  • Rajnish Harjika, 2026. "Real-World Use Cases: AI That Works," Springer Books, in: Architecting Enterprise AI Strategies, chapter 0, pages 165-202, Springer.
  • Handle: RePEc:spr:sprchp:979-8-8688-2219-3_6
    DOI: 10.1007/979-8-8688-2219-3_6
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