# ServiceNow takes aim at enterprise AI's workflow bottleneck with AI Workflow Factory

DevFeed: [ServiceNow takes aim at enterprise AI's workflow bottleneck with AI Workflow Factory](<https://devfeed.tech/articles/servicenow-takes-aim-at-enterprise-ai-s-workflow-bottleneck-with-ai-workflow-factory-65474.md>)

Original publisher: [Read original article](<https://www.cio.com/article/4231156/servicenow-takes-aim-at-enterprise-ais-workflow-bottleneck-with-ai-workflow-factory.html>)

Author: Gyana Swain

Published: 2026-10-06T12:23:44Z

Content type: news

Language: en

Sources: [CIO](<https://devfeed.tech/sources/cio.md>)

Topics: [internal developer platform automation](<https://devfeed.tech/topics/internal-developer-platform-automation.md>), [Advanced AI workflows](<https://devfeed.tech/topics/advanced-ai-workflows.md>), [Loop Engineering](<https://devfeed.tech/topics/loop-engineering.md>), [agentic workflows](<https://devfeed.tech/topics/agentic-workflows.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [artificial-intelligence-it-operations](<https://devfeed.tech/tags/artificial-intelligence-it-operations.md>), [deploy](<https://devfeed.tech/tags/deploy.md>), [enterprise-ai](<https://devfeed.tech/tags/enterprise-ai.md>), [it-operations](<https://devfeed.tech/tags/it-operations.md>), [servicenow](<https://devfeed.tech/tags/servicenow.md>), [workflow](<https://devfeed.tech/tags/workflow.md>)

## AI overview

ServiceNow introduced AI Workflow Factory and Autonomous Engineer to help enterprises identify processes for automation, build and test workflows, and refine them using AI agents. The article describes human approval and validation, governance controls, ongoing platform costs, and the need to keep ownership and process redesign explicit.

## Source excerpt

ServiceNow has launched two AI solutions that can help enterprises identify business processes ripe for automation, build the workflows to address them, and continuously improve them with AI agents. AI Workflow Factory and Autonomous Engineer, announced on Tuesday, will bring process discovery, AI-assisted development and workflow execution into a single system that ServiceNow says can help enterprises move from individual AI projects to continuous workflow improvement. "Instead of starting a new transformation project each time a business problem surfaces, every outcome helps reveal the next opportunity for multi-process improvement with AI," the company said in a statement. AI Workflow Factory connects Process Mining, Autonomous Engineer, Build Agent, and App Engine. Process Mining identifies processes that can be improved based on business metrics, while the development tools build and test workflow changes, and App Engine runs them at scale, the statement added. ServiceNow described the approach as a "continuous workflow improvement loop," connecting process discovery, development, and deployment. It said the model allows an enterprise to use the results of one improvement to identify the next opportunity rather than launching a separate project each time. Sanchit Vir Gogia, chief analyst at Greyhound Research, said the approach addresses the coordination required to turn a process problem into a deployed improvement, but does not remove the need to address the underlying business process. "Data and integration remain its connective tissue. Faster building still leaves ownership and process redesign unresolved unless the enterprise addresses them explicitly," Gogia said. Measuring the payoff ServiceNow said AI Workflow Factory can be used for specific business outcomes. It cited a case-deflection example in which Process Mining identifies where cases can be deflected, after which AI agents can build and deploy workflows across business units and continue refinin