Agenda

The world is entering a defining moment for digital infrastructure. Artificial intelligence has moved from experimentation to ubiquity, and with it, a new operational paradigm is taking shape — one where agents rather than applications become the primary engines of digital value creation. This is the dawn of the agentic AI era, and its success depends on one thing above all else: robust, intelligent, and scalable infrastructure.

Asia/Pacific enterprises are entering a new phase of artificial intelligence adoption as experimentation gives way to industrialization. Generative and agentic AI systems are no longer side projects or productivity add-ons; they are becoming the backbone of how organizations automate work, make decisions, and compete in volatile markets.

“You’re right,” the LLM says. “I was mistaken.”

Have you ever read these words during an AI workflow? Nothing kills trust faster than incorrect outputs. It’s no wonder, then, that only a quarter of businesses today fully trust AI to support decision-making and forecasting.

And yet, we know AI is business critical. Nine out of 10 businesses are using AI; 64% say it’s powering innovation.

The question enterprises are asking has changed. It’s no longer whether to deploy AI agents — it’s why so few deployments ever move beyond the pilot stage. IDC projects that the number of actively deployed AI agents will exceed 1 billion worldwide by 2029 — 40 times more than in 2025.

Yet according to Camunda’s own research, 71% of organizations are already using AI agents, but only 11% of those use cases reached production last year.