AI Insights
🔹 Sector momentum is clear: 69% of agentic AI use cases are already reshaping BFSI, retail, and manufacturing.
🔹 Human-in-the-loop remains dominant: Only 25% of deployments run fully autonomously—most still augment human decision-making.
🔹 Data is the bottleneck: Over 50% of enterprises cite fragmented legacy systems as the main barrier to adoption.
🚨 Generative AI was just the beginning. The real workplace transformation begins with agentic AI.
According to ISG’s State of the Agentic AI Market Report 2025, we’re entering a new phase in enterprise automation—one where systems don’t just assist, but act, adapt, and collaborate.
If GenAI was the steam engine, agentic AI is the internal combustion engine—more autonomous, more scalable, and more impactful.
Here are key insights that stood out to us:
🔹 69% of current agentic AI use cases are concentrated in BFSI, retail, and manufacturing. These sectors aren’t just automating—they’re reimagining core operations like fraud detection, customer engagement, and predictive maintenance.
🔹 52% of horizontal use cases are in IT. From DevOps to cybersecurity, AI agents are autonomously managing cloud environments, resolving incidents, and optimizing infrastructure.
🔹 Only 25% of deployments operate with full autonomy. Most (45%) still use the human-in-the-loop (HITL) model—crucial for governance and trust.
🔹 Most implementations are still single-agent. But multi-agent orchestration is on the horizon, with emerging protocols like A2A and MCP.
🔹 The top adoption challenge? Data. Fragmented and legacy systems remain the biggest blockers, even for enterprises working with service providers.
🔹 The value goes beyond cost savings. Enterprises are looking to agentic AI for revenue growth, product reinvention, and agile business models.
💡 Key takeaway: Agentic AI won’t replace people—it will reshape how work gets done.
Enterprises that treat it as a workforce transformation, not just another tech deployment, will pull ahead of the pack.
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