ServiceNow announces AI Workflow Factory and Autonomous Engineer

ServiceNow says AI Workflow Factory is intended to help enterprises identify where AI could improve work and provide a unified way to build, run and extend AI workflows.[1] The company describes the product as a continuous improvement loop: each outcome can reveal further opportunities across multiple processes.[1] It says the solutions address execution gaps associated with fragmented, legacy infrastructure.[1] ServiceNow also says enterprises can scale business operations in days rather than months under AI Control Tower governance; that is the company’s stated proposition, not an independently verified outcome in the announcement.[1]

The loop begins with Process Mining, which ServiceNow says identifies processes for change using business-unit key performance indicators.[1] Autonomous Engineer and Build Agent help teams develop workflow improvements and control quality, while App Engine runs improved workflows at scale.[1] In one example, ServiceNow set out a 20% case-deflection target across several business units.[1] It says Process Mining would identify deflection opportunities, after which AI agents deploy workflows across the units and refine them against the target.[1] The example describes a target and proposed process, not a reported deflection result.[1]

ServiceNow says AI Control Tower governs workflows, decisions and agent actions within AI Workflow Factory, and Action Fabric extends the governed loop to third-party AI agents and tools.[1] The company says people remain responsible for setting direction and approving outcomes as AI takes on more work.[1] Autonomous Engineer supports unattended coding for planning, building and testing implementation work, according to ServiceNow.[1] The company also says developers retain control over critical decisions.[1] CIO.com’s coverage highlights a related caveat: faster building does not resolve questions of ownership or process redesign unless enterprises address them explicitly.[2]

AI Workflow Factory is globally available, while Autonomous Engineer Early Access is available on request.[1] ServiceNow says its India partner ecosystem is adopting AI Workflow Factory and deploying the new developer capabilities.[1] The company reported that enterprise AI investment in India grew 119% in one year, citing its 2026 Enterprise AI Maturity Index, and said more than 100 billion workflows run on its platform annually.[1] ServiceNow also says its India data centers provide resilience, auditability and oversight for regulated sectors including banking, financial services and insurance, and telecommunications.[1] CIO.com advises CIOs to measure business outcomes alongside recurring platform costs.[2]