As industries increasingly look toward digital transformation, the integration of artificial intelligence and process intelligence has become central to advancing efficiency and maximizing value.

These technologies empower organizations to streamline complex processes, reduce inefficiencies and unify data across disparate systems. This technology-driven shift not only enhances productivity but also aligns businesses with sustainability goals and rising customer expectations, making process intelligence and AI foundational to modern business strategies across industries, from finance to logistics, according to Rob Strechay (pictured, center), managing director and principal analyst at theCUBE Research.

“I think what we’ve all been saying this week has been the fact that having that process intelligence and being able to understand this is how the agent needs to work is really a key,” Strechay said. “We heard that from BMW, when he talked about how they were building agents outside of Celonis as well, using the Celonis data and where the processes meet together with other data from other places. I think that became very enlightening to me that this is not about, ‘Hey, yes, you have to get your processes down. And if you don’t do this first and you don’t understand that first, you are going to fail at AI.’ And that, to me, is a key.”

Strechay spoke with fellow theCUBE Research analysts Savannah Peterson (right) and George Gilbert (left) at Celosphere 24, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how integrating AI and process intelligence is transforming business operations by streamlining processes and reducing inefficiencies, making these technologies foundational to modern strategies across various industries. (* Disclosure below.)

How process intelligence and AI unlock new business value

The latest innovations in process intelligence are shaping business performance and driving substantial results. These innovations address critical challenges such as data fragmentation, manual inefficiencies and inconsistent customer experiences, providing businesses with actionable insights to optimize every layer of their operations, according to Gilbert.

“We haven’t had databases. We haven’t had a layer that managed processes,” he said. “We have things, graph databases, but so far, the labeled property graphs … they’re data structures. They don’t capture the logic about how to run a process and that’s what we have here. It’s like we were in a technology-centric phase for the industry, and now we’re going into an industry and business-centric phase.”

AI-driven process intelligence tools such as process copilots and optimization apps provide organizations with real-time visibility into operations. These tools analyze large volumes of data, identify patterns and predict potential bottlenecks, enabling companies to make proactive adjustments rather than reactive ones.

“For the first time in 50 or 60 years … we’re now going to start tracking processes,” Gilbert said. “To your point that it’s easier to implement … you pull the information about the things out of these old systems, and they mine them and then it flows into this process intelligence. Then, you can optimize these engine processes.”

The use of AI within process intelligence is not only enhancing individual workflows but also fostering interconnected operations. Through two-way data connectors and advanced AI agents, companies can now bridge older systems with modern digital infrastructures.

“It feels like [Celonis is] having an SAP-from-a-few-decades-ago moment,” Peterson said. “Process mining is at an evolutionary juncture, but you can really feel the trajectory. It feels like process mining is really having its moment. Companies and enterprises are aware of the value add there. That’s what Celonis sells.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of Celosphere 24:

(* Disclosure: TheCUBE is a paid media partner for Celosphere 24. Neither Celonis SE, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE