Mr Sagoo says 2026 will mark a turning point where AI adoption moves from experimentation to large-scale deployment.

Enterprise artificial intelligence (AI) is leaving the sandbox, shifting from back-end pilots to large-scale, customer-facing deployments.Global consultancy Accenture said success hinges on three pillars: robust architecture, governed knowledge and workforce transformation.

"2026 will mark a turning point where AI adoption moves from experimentation to large-scale deployment, as enterprises begin launching more customer-facing AI solutions and agentic AI systems into real operations," Anoop Sagoo, chief executive of Southeast Asia at Accenture, told the Bangkok Post.

The AI industry has evolved rapidly to focus on how companies can scale AI adoption and generate measurable business value.

However, three major barriers are still slowing enterprise-wide implementation. The first challenge is building a strong AI foundation, especially in data infrastructure, cloud migration and application modernisation, he said.