Chatbots Are Learning to Redesign Your Business Workflows — One Conversation at a Time

• By John K. Waters
• 05/09/2025

In a sign that large language models are ready to tackle enterprise pain points far beyond email summaries and code suggestions, researchers have developed a new method that allows business users to redesign process workflows by simply chatting with an AI.

Dubbed "Conversational Process Model Redesign" (CPD), the technique combines natural language prompts with a library of process change "patterns," allowing users to tell an AI assistant things like "Add an approval step after task B" or "Merge these two review steps"—and have a fully updated process model returned, no BPMN expertise required.

The approach was detailed in a new academic paper and tested across major LLM platforms, including GPT-4o, Gemini 1.5 Pro, and Mistral.

"We're bringing low-code process design into the no-code, conversational era," the lead researcher told TechCrunch. "And we're doing it without compromising on structural correctness."

Why It Matters
Business process modelling (BPM) is core to how companies optimize workflows—think onboarding flows, approval chains, or customer support handoffs. But most BPM tools still require expertise in complex diagramming languages like BPMN, creating a bottleneck between domain experts and the technical teams who build the models.

Enter CPD, a technique that treats natural language as the input, and structural model updates as the output. Under the hood, the system uses a multi-stage pipeline: first classifying the user's intent, then mapping it to one of 18 process change patterns, and finally generating a new process diagram.

In pilot tests with 64 users, the researchers found that eight patterns (including both standard and newly proposed ones) were executed successfully over 30% of the time. While not perfect, it's a strong proof of concept for using LLMs as interactive workflow designers.

AI + BPM: A Quiet Revolution
The study also found some surprising emergent behavior. Users often described desired changes in their own terms—using phrases like "summarize," "split into steps," or "reverse last change"—rather than the formal terms expected by BPM software.

This prompted the researchers to propose five new change patterns tailored to conversational input, along with a "rename node" primitive that surprisingly turned out to be one of the most common (yet previously unsupported) actions.

"We didn't just adapt process patterns to LLMs—we learned from user behavior what was missing in the first place," wrote one co-author.

Where It's Going
While the results are promising, the researchers acknowledge that both LLM limitations and vague user input still pose challenges. The team is now exploring hybrid architectures, where the LLM handles language interpretation but hands off execution to deterministic process engines.

They're also eyeing features like auto-suggestions, intent clarification, and pattern recommenders—essentially bringing the UX of tools like GitHub Copilot to BPM platforms.

The potential payoff? Business users who can iterate on and optimize their own workflows in minutes—without submitting a ticket to IT.

Bottom line: The future of business process redesign may be as simple as having a conversation. And if researchers have their way, your next workflow update might start with just one prompt: "Hey AI, make this smoother."