As agentic AI moves from experimentation toward enterprise deployment, the challenge is figuring out how agents can work together, connect to systems, and operate safely across business workflows. 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.

For Arun Chandra, chief operating officer at Ni CE, 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 objective.

Chandra argues that AI agents should ultimately be held to the same standards as human workers, with organizations thinking of their workforce as a combination of humans and AI agents. The priority is not to "boil the ocean," but to build a connected strategy around high-value use cases, workflows, workforce changes, and measurable outcomes.