Enterprise technology projects are stalling, and the problem isn’t a lack of capability. Companies deploy sophisticated AI agents only to watch them fail in isolation, disconnected from the messy, multi-system reality of how work actually happens.

The missing ingredient isn’t more advanced algorithms, but operational context that bridges siloed systems and fragmented workflows, according to Manuel Haug (pictured), chief field technology officer at Celonis SE.

Celonis’ Manuel Haug talks with theCUBE about digital twins of business operations and process transparency.

“AI is everywhere, but it’s not working everywhere at the moment,” Haug told theCUBE. “I think we have the chance and the opportunity to change that, and I think that’s really the exciting part of Celonis and process intelligence — [to] really make that work and at companies at scale.”

Haug spoke with theCUBE’s Rob Strechay and Savannah Peterson at Celosphere 25, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed digital twins of business operations, the challenge of connecting artificial intelligence agents to enterprise ecosystems, and how process transparency enables organizations to reimagine operations at scale. (* Disclosure below.)

Giving AI agents the context humans take for granted

Human workers naturally navigate multiple systems throughout their workday, toggling between enterprise resource planning platforms, email, communication tools and offline processes. AI agents lack the inherent ability to synthesize context across disconnected environments, creating a fundamental limitation when organizations try to embed them into existing workflows, according to Haug.

“When you now want to actually put an AI agent into your business operations, you actually need to enable them to do exactly the same,” he said. “You need to give them the context that a human very naturally gets by just switching between these systems. An agent usually cannot do that. An agent by itself is in isolation.”

Organizations succeed with AI when they connect it to operational blueprints built from years of accumulated knowledge across thousands of projects. These blueprints provide starting frameworks for common processes, such as procurement or order-to-cash, though every company ultimately requires customization that reflects its specific operations, according to Haug.

“Our customers that now start with, for example, a procurement process or an order to cash process, they can leverage that knowledge that we have built up over thousands of projects,” he said. “They can start … miles ahead of Siemens, our first customers that we had back in the days.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of Celosphere 25:

(* Disclosure: TheCUBE is a paid media partner for Celosphere 25. Neither Celonis, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE