Before enterprises can run with agentic AI, they need to learn to walk with their data
Multi-agent orchestration is the destination, but for most enterprises, the road is blocked long before the first agent gets deployed by the quality of the data feeding those systems.
As organizations accelerate investment in agentic workflows, a persistent gap between AI ambition and operational reality is widening. Legacy systems were built for a world where humans supplied the interpretive logic that data alone could not. In the agentic era, that undocumented knowledge must be surfaced, codified and connected before multi-agent orchestration can deliver real return on investment, according to Patricia B. Moore (pictured), AI field chief technology officer and innovation lead at Boomi LP.
“It starts with trust. You have to have context in order to have that trust to have agentic solutions that are actually going to deliver value; you need your data to be connected, you need your systems to be automated,” she said. “The idea behind artificial intelligence is that there is intelligence, and in order to have intelligence, you need to have the right information.”
Moore spoke with theCUBE’s Gemma Allen at Boomi World 2026, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how enterprises can clear the data trust hurdle and build toward multi-agent orchestration without abandoning the investments they have already made. (* Disclosure below.)
