Scaling agentic AI pilots across the enterprise
Scaling agentic AI pilots across the enterprise
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Scaling agentic AI pilots across the enterprise
As agentic AI moves from pilots to enterprise-wide deployment, orchestration, data, govern
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Scaling agentic AI pilots across the enterprise
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.
MIT Technology Review Insights
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September 3, 2026
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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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For Arun Chandra, chief operating officer at NiCE, the first step is moving beyond experimentation for its own sake. “Everybody's trying to figure out what can we do with this technology?” he says. But scaling requires a clearer connection to business strategy: Organizations need to define whether they are trying to increase revenue, reduce costs, or pursue another strategic or financial objective. From there, they need to rethink the workflows where agents will operate instead of just layering AI onto existing processes. “The last thing you want to do is to apply AI on an outdated or an inefficient workflow,” Chandra says.
That shift requires organizations to treat agentic AI as a cohesive system. Agents need access to the data, knowledge, and context required to make effective decisions, as well as connections to back-end systems if they are expected to take action. Fragmented information can undermine those capabilities: “The efficacy of these AI agents is purely a function of the context, the knowledge, and the data they can ingest and use,” Chandra says.
The organizational implications are equally noteworthy. Scaling agents can create a new form of fragmentation i