Rob Hanna, co-founder and CEO of Precision Content, has spent years working with organizations navigating the realities of complex information environments. He believes AI reaches its greatest potential when it is built on structured, validated, and human-owned knowledge. "Technology can accelerate access and scale, but organizations still have a responsibility to understand and organize the information that powers those systems," Hanna emphasizes. That perspective seems increasingly relevant as enterprises move from AI experimentation toward broader implementation.
Across industries, Hanna observes that organizations are moving into a phase where early excitement about AI is increasingly balanced with concerns about reliability. He notes that initial proofs of concept often inspire confidence because systems can produce fluent responses and draw from large volumes of information. As organizations expand their deployments, however, he sees attention shifting toward qualities like repeatability, traceability, and consistency. In his view, the conversation gradually evolves from whether AI can generate answers to how dependable those answers truly are.
