Many AI projects fail because they are built atop legacy IT systems, Han said, adding that modifying a company’s technology stack, workflows, and processes will maximize what AI can do.
Humans also still need to oversee AI projects and outcomes — especially when agentic AI is involved, Han said. “Let the machines do what machines do best and let the humans do what humans do best,” Han said.
In a separate survey, AI vendor Cleanlab found very few companies had AI agents in production stage. “Between 60% and 70% of everyone that we chatted with, both in survey and also in sales calls, they were changing their entire stack — their LLM, the AI stack that they built an agent on — they’re just tinkering, every three months at least,” said Cleanlab CEO Curtis Northcutt.
