Scaling agentic AI pilots across the enterprise
The article discusses the challenges of scaling agentic AI from isolated pilots to enterprise-wide systems. It emphasizes that success requires aligning AI deployment with business strategy and ensuring agents have access to integrated data and governance.
Why it matters
As businesses rush to adopt AI, moving beyond experimental 'pilot' phases is essential for achieving actual ROI and operational efficiency.
As agentic AI moves from pilots to enterprise-wide deployment, orchestration, data, governance, and clear business objectives are becoming critical for scaling, says chief operating officer at NiCE Arun Chandra.
As agentic AI moves from experimentation toward enterprise deployment, the challenge is figuring out how agents can work together, connect to the systems and data they need, and operate safely across the workflows that run a business. Although agentic AI has been adopted by some 80% of Fortune 500 companies, progress toward meaningful scale remains uneven, with many organizations still working through isolated pilots.
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