"Tech execs pushing to get agentic AI projects into production will have to surmount complicated challenges to prevent their efforts from failing, according to the CEO of a San Francisco-based AI startup. Companies need to establish a roadmap, outline deliverables, and experiment to achieve successful project execution, Curtis Northcutt, Co-founder and CEO of Cleanlab, said in an interview last week with Computerworld. "The moment that these enterprises and these CIOs take a break or the moment that you think, 'Oh, we finally got it figured out' - that's the moment you fall behind," he said."
"Agentic AI projects are challenging because the technology is changing so rapidly that it's difficult to stay on top of developments. Companies have to switch AI goals and technologies rapidly because of unprecedented advances."
Tech executives aiming to deploy agentic AI into production face complex, fast-moving technical and organizational obstacles that can derail projects. Companies must create concrete roadmaps, define measurable deliverables, and run experiments to validate approaches and ensure execution. Continuous attention and iterative work are required because complacency or pauses can cause teams to fall behind rapidly. Rapid advancements in AI force frequent changes in project goals and underlying technologies, requiring adaptability and quick pivoting. Sustained investment in processes, skills, and experimentation increases the chance that agentic AI initiatives reach production and deliver value.
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