Process intelligence drives enterprise AI transformation – News

The race to make enterprise data truly useful is heating up — and process intelligence is quickly becoming the secret weapon. By fusing analytics, automation and artificial intelligence, it’s turning once-static workflows into self-improving systems that actually deliver measurable outcomes rather than just dashboards.

In today’s AI-driven economy, that evolution marks a shift from observing to acting. Businesses aren’t just analyzing how things work — they’re teaching machines to anticipate, decide and optimize in real time. The result is a new playbook for operational efficiency, where data silos fall away and decision-making becomes a continuous, intelligent loop between humans and technology, according to Rudy Kuhn (pictured), lead evangelist at Celonis SE.

“We have decisive AI to make decisions or support decisions by humans, from humans,” Kuhn said. “We have agentic AI … to do something and this is what really moves the needle in terms of value.”

Kuhn spoke with theCUBE’s Savannah Peterson and Rob Strechay at Celosphere 25, during an exclusive broadcast on theCUBE, News Media’s livestreaming studio. They discussed how process intelligence is transforming enterprise operations by connecting data, AI and automation to drive real business value. (* Disclosure below.)

How process intelligence unlocks enterprise transformation

For many organizations, process intelligence starts with visibility. By mapping workflows end to end, enterprises can identify where friction lives and where automation will truly make a difference. The focus is on enabling AI not just to observe but to decide and act. This approach links human context with machine execution, Kuhn noted.

“They started by using process mining, process intelligence to understand the process, to get all the data, all the context data that is required to train AI,” he said. “Then, they use AI not to generate text and nice pictures, but really, use AI to make decisions. They use these decisions with the orchestration engine to execute on it. It’s really get the insights, make the decision and perform action, and that’s how value is created.”

That pattern is being replicated across industries. Whether it’s automotive, energy or logistics, process intelligence is turning operational data into continuous improvement, Kuhn explained. The emphasis is on outcomes — efficiency, sustainability and speed — not just technological adoption.

“If you look into business processes … it’s impossible to have all the data in one silo; it just doesn’t work,” Kuhn said. “More important, you are never alone in your process. You have partners, not only internally, but also externally.”

Partnerships are critical to this evolution. Modern enterprises rely on a mix of ecosystems — cloud providers, software platforms and AI models — that must work in concert. The goal is to educate AI with real process context so it can deliver value that aligns with business priorities, Kuhn emphasized.

“We see that our technology is very complementary to other technology, like the copilots,” he said. “We don’t have our own AI, but we are complementary. We help AI understand what it’s all about.”

As automation becomes embedded across workflows, process intelligence is redefining what “smart operations” really mean. It’s not about replacing humans but enhancing them through orchestrated systems that combine data, decision and action. That synergy is where transformation — and true ROI — begins.

“You need something, you need treatment, something needs to happen, so action needs to happen,” Kuhn said. “Insights is what we generate with process intelligence. Decisions is what we enable with AI. Action is what we perform with automation and orchestration.”

Here’s the complete video interview, part of News’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 News.)

Photo: News