ServiceNow launches Autonomous Engineer
ServiceNow Autonomous Engineer plans, builds and tests implementations with parallel background agents. It runs on Build Agent and requires AI Workflow Factory.
ServiceNow describes Autonomous Engineer as a new agentic worker that turns requirements into an approved implementation plan, then uses parallel background agents to build and test the work.
Build Agent primarily supported conversational, step-by-step development and refinement inside ServiceNow.
Autonomous Engineer adds plan-based end-to-end implementation with parallel background agents, automated testing and human validation.
ServiceNow has introduced Autonomous Engineer as a new agentic worker for the software and workflow lifecycle. The company says the product is powered by Build Agent and converts requirements into a structured implementation plan before execution begins.
After a user approves the plan, Autonomous Engineer breaks the work into individual work items and starts isolated background agents in parallel. ServiceNow also describes automatically generated ATF tests against acceptance criteria. Failed tests can be diagnosed and retried, while unresolved issues are surfaced for human decisions.
The availability scope is specific. Autonomous Engineer ships as a separate ServiceNow Store app, requires the AI Workflow Factory entitlement according to the product article, and is described as Early Availability with the Brazil release. It is accessed in ServiceNow Studio and requires the appropriate administrative setup.
ServiceNow places Autonomous Engineer and Build Agent inside the new AI Workflow Factory. Process Mining identifies improvement opportunities, Build Agent and Autonomous Engineer implement workflow changes, and AI Control Tower provides governance for the resulting AI workflows. AgentenCode records that architecture without inferring availability in every tenant.
For evaluation, the key change is that execution can continue in parallel and in the background after human approval of the plan. That increases the automation surface and makes acceptance criteria, roles, test coverage and final validation especially important control points.
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