Excitement about the transformational potential of AI in the enterprise has never been higher.
It’s manifested most recently into the explosion of interest in AI agents. Agents are specialized, AI-powered software programs that can work autonomously to achieve long-term goals.
As Meta’s head of business AI, Clara Shih, recently told CNBC, Meta expects “every business” to use AI agents “the way that businesses today have websites and email addresses.”
The hype around agents is justified, but discussions about how the enterprise should work to achieve Meta’s vision remain incomplete. To get transformational value out of agents, it matters greatly not just how powerful or plentiful they are, but how strategically and thoroughly you integrate them into the infrastructure of your day-to-day operations.
For this you need a means. The only adequate means currently available is orchestration.
In this essay, published recently in Crunchbase News, Tonkean co-founder and CEO Sagi Eliyahu discusses why orchestration, and not your LLM, is the essential infrastructure required of effectively instrumenting AI in your company's operations. Without it, the most your AI will ever be is inefficient, though indeed it might be worse.