Creatio is betting that the future of enterprise AI won’t belong to fully autonomous agents. It expects organizations to blend people, traditional workflows, and AI agents inside a single platform. That’s the strategy behind Creatio 10x, the company’s latest CRM and workflow release, which combines AI agent creation, governance, and CRM into one AI-native platform.
“The organizations of the future are going to have people, AI, and processes,” said John Arnold, head of product marketing for AI CRM at Creatio. “Somewhere in between, you’ve got this perfect mix of people, traditional workflows… AI assistants and autonomous agents. Every organization is different.”
That philosophy reflects a broader shift in enterprise software. Most vendors now offer AI agents. The competition is moving to a different question: how organizations govern those agents, fit them into existing business processes, and avoid creating another disconnected layer of technology.
Creatio’s answer is to make CRM the foundation where all of that happens. Rather than positioning AI as a separate application, the company wants organizations to build, deploy, govern, and monitor agents alongside the customer data and workflows they already use.
AI becomes part of everyday work
Creatio 10x introduces two complementary products that target different parts of the organization.
AI Twin lets employees build personal AI agents through a conversational interface without writing code. AI Studio gives IT and operations teams tools to build, govern, and manage more sophisticated agents at enterprise scale. Together, they support everything from simple task automation to fully governed agentic workflows.
The release also extends AI throughout the company’s CRM products. Marketing teams can use agents to build audience segments, generate campaign assets, and orchestrate campaigns. Sales teams gain AI-assisted forecasting and selling tools, while customer service teams receive expanded AI-powered chat and omnichannel capabilities.
The larger point isn’t the individual features. It’s that Creatio sees AI as another layer within existing workflows rather than replacing those workflows entirely.
Arnold said deterministic business processes remain the best choice for many repetitive tasks. AI agents become valuable when organizations need reasoning, synthesis, or the ability to navigate situations that are too complex for traditional workflows.
Moving beyond the Frankenstack
That same thinking extends to enterprise software itself.
Arnold believes organizations are reaching the limits of managing collections of specialized applications connected through custom integrations and workarounds.
“We’re starting to see that, retiring those point solutions,” he said. Instead of buying another application, organizations increasingly ask whether they can build the capability they need on top of a platform they already use.
He described many enterprise environments as “Frankenstacks” held together by tribal knowledge and manual workarounds. Rather than expanding those collections, Creatio’s strategy is to make CRM a composable platform where organizations can build the workflows and AI capabilities they need without adding another point solution.
That reflects a broader trend across enterprise software. As AI capabilities become more common, vendors are increasingly competing on platform consolidation as much as on AI itself.
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Governing AI becomes the next challenge
Building AI agents is getting easier. Managing them is becoming the harder problem.
Creatio 10x includes governance tools that monitor agent activity, enforce policies, provide visibility into agent decisions, and connect to existing systems through standards such as Model Context Protocol (MCP) and REST APIs.
The company is also introducing an AI Command Center that lets organizations allocate AI usage across departments, monitor consumption, and evaluate whether that usage produces business value.
Arnold says organizations should think about AI consumption differently.
“If you’re spending a dollar on a token, and you’re getting two dollars back, that’s not a problem,” he said. “The question is, why didn’t you spend more than a dollar?”
He said the larger challenge is creating policies that help organizations understand where AI delivers measurable returns and where traditional workflows or even human workers remain the better choice.
That focus on governance may ultimately prove more significant than any individual AI feature. As enterprise AI matures, the competitive advantage is shifting from simply deploying agents to deciding where they belong, how they’re governed, and whether they produce enough value to justify their cost.