AI Sprawl Is Already Here - How to Take Back Control

Description

India's AI ambition is real — and so is the gap.

96% of enterprises globally are already running AI agents, but only 12% have a centralized way to manage them. In India specifically, 85% of organizations remain locked in pilots, 72% of leaders admit they lag global peers, and just 27% are confident their AI infrastructure is secure and scalable enough to grow on.

The bottleneck isn't belief — it's the missing operational layer between AI experimentation and enterprise scale.

What you'll learn

Why 85% of Indian enterprises are stuck in AI pilots and how to escape the cycle
The real cost of ungoverned AI agents and why adoption without control is a liability
How BFSI and Manufacturing sectors are leveraging orchestrated AI agents to deliver business outcomes at scale
How IBM watsonx Orchestrate enables organizations to manage an entire ecosystem of AI agents across vendors, models, and environments from a single control plane

Move beyond isolated AI deployments and build an orchestrated, auditable, and trusted AI operating model.

Key Takeaways

India's AI gap is an execution problem, not an ambition problem

85% of Indian enterprises are stuck in pilots, 72% lag global peers, and only 27% have infrastructure they trust to scale on. The bottleneck is organizational and architectural — not a lack of intent.

Adoption without control is a liability

Of the enterprises that are running agents, only 12% have a centralized way to manage them. Every new agent deployed without governance adds fragmented security risk, rising costs, and operational blind spots to your environment.

BFSI and Manufacturing have the most to gain — and the most to lose from getting it wrong

Both sectors sit on data-heavy, regulation-sensitive operations where ungoverned AI agents carry real business and compliance risk. Orchestration isn't optional in these industries; it's the prerequisite for scale.

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