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AI Summary: Evaluates the current 'ROI Reckoning' in enterprise AI, stressing that success depends on data observability rather than model scale.
AI Summary: Evaluates the current 'ROI Reckoning' in enterprise AI, stressing that success depends on data observability rather than model scale.
By mid-February 2026, the initial hype surrounding autonomous agents is meeting the harsh reality of corporate P&L. Many organizations are finding that while agents can 'do' things, they struggle to deliver measurable value due to poor data foundations and lack of human-in-the-loop guardrails. This deep dive analyzes the common pitfalls of enterprise agentic workflows and provides a framework for selecting use cases that actually move the needle on revenue and efficiency.
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