From Silicon Valley to Riyadh: CNBC × aiXplain on How AI Orchestration Unlocks Enterprise Scale
When CNBC’s Dan Murphy interviewed our CEO Hassan Sawaf on Access Middle East, the conversation went beyond technology. Instead, it focused on the future of enterprise transformation and the role of AI orchestration in shaping that future.
The vision is clear: enterprises can’t afford to remain stuck in the world of demos and experimental chatbots. Therefore, they need production-grade AI agents, powered by AI orchestration, to deliver real outcomes at scale.
Why? Because AI is no longer a curiosity. It’s infrastructure. For example, new models, chips, and cloud platforms appear every day. Without orchestration, enterprises face chaos: fragmented tools, governance gaps, and systems that can’t evolve fast enough. With orchestration, AI becomes a durable foundation that is governed, scalable, and trusted.
The takeaway from Hassan’s CNBC conversation is simple: Orchestration, not experimentation, will define the next era of enterprise AI. And aiXplain is building the operating system to make that future possible.
From Chatbots to Agents
Chatbots may spark interest, but they rarely survive the leap to enterprise scale. Copilots are useful; however, copilots alone cannot run an organization. Consequently, what enterprises demand are agents: intelligent systems that coordinate across workflows, enforce governance, and evolve as business needs change.
As Hassan noted during the interview…
“Every day, a new model or chip is released… Our platform helps enterprises navigate this complexity and support continuous decision-making.”
Ultimately, this is the essence of AI orchestration. Without it, innovation stalls. With it, complexity becomes manageable and scalable.
Scaling AI Agents, Not Just Chatbots
Indeed, the results speak for themselves:
- 55,000+ AI agents built on aiXplain
- 40,000+ modular assets powering enterprise adoption
Hassan emphasized that these agents are not limited to developers:
“We have today 55,000 agents built on aiXplain. We have 40,000 assets which are the building blocks of these agents, and you can build very complex systems in a simple form.”
Moreover, this democratization matters. In turn, by enabling domain experts to create agents, aiXplain ensures that intelligence and efficiency extend across every industry. That is what AI orchestration looks like in practice.
The Middle East: A Global Hub for AI Adoption
aiXplain began in Silicon Valley, but we established our headquarters in Riyadh to reflect a larger vision. The Middle East is quickly becoming a global hub for enterprise AI adoption. As a result, governments and companies are investing billions in AI infrastructure, making the region one of the fastest-moving markets in the world.
As Hassan explained to CNBC:
“Having a strong partner like Aramco is a validation of our value to the region. Saudi Arabia and the UAE are going all-in on building AI capabilities, and it’s an exciting place to be shaping the future.”
Therefore, this combination of speed, scale, and ambition is why aiXplain is building the fabric of enterprise AI in the region and beyond.
AI Orchestration: The Fabric for Enterprise AI
In fact, the AI ecosystem is evolving at an unprecedented pace. New models, new chips, and new breakthroughs appear almost daily. For enterprises, this means both new opportunities and overwhelming complexity.
Hassan captured the challenge:
“Even after 30 years in AI, it’s getting more complex to keep up. Using a platform like aiXplain to navigate these complexities is our sweet spot.”
This is the foundation of the Agentic OS. It allows enterprises to orchestrate innovation, cut through the noise, and build systems that endure.
Ultimately, the future of enterprise AI belongs not to chatbots but to orchestrated agents that deliver measurable outcomes at scale.
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