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ServiceNow Debuts 3rd Gen Employee AI Harness to Democratize No-Code Enterprise Agentic Workflows
ServiceNow today announced major advances to ServiceNow EmployeeWorks that give employees the ability to build the AI agents their jobs demand. These agents can complete daily tasks without human intervention and enable deep persona-based work across critical business functions. Additionally,
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ServiceNow Announces Major Advances To ServiceNow EmployeeWorks, ToolSmith And Conversations API
ServiceNow announced major advances to ServiceNow EmployeeWorks that give employees the ability to build the AI agents their jobs demand. These agents can complete daily tasks without human intervention and enable deep persona-based work across critical business functions. ToolSmith, a new agentic
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ServiceNow launched major updates to ServiceNow EmployeeWorks, introducing a third-generation AI harness that enables employees to build AI agents without coding. The platform includes ToolSmith, an agentic developer environment that reduces tool-building from days to minutes, and Productivity Assistants for persona-based work across HR, talent management, and daily operations.
ServiceNow announced major advances to ServiceNow EmployeeWorks that enable employees to build AI agents tailored to their specific job requirements without writing code
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. The platform addresses a critical gap in enterprise AI adoption: while AI investment continues rising, most employees still cannot build the AI solutions their jobs demand due to IT backlogs, developer constraints, vendor lock-in, and fragmented tools1
. ServiceNow EmployeeWorks shifts automation power from IT departments directly into the hands of employees who understand their work best, with governance built in2
.ServiceNow EmployeeWorks runs on a third-generation employee-centric AI harness that provides intelligent context, trusted decision making, and robust enterprise actions to orchestrate AI safely
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. This harness combines reasoning, memory, and tool interoperability, enabling AI agents to handle deep research, long-running tasks, and cross-system work with durable memory2
. Bhavin Shah, senior vice president of employee experience group at ServiceNow, explained that the platform "combines agentic planning with governed and auditable workflows for any employee use case with intelligent employee context as the foundation"1
. The result is an operating system for employee experience that connects employees to the full power of the ServiceNow AI platform across any business application or channel, in any language, ready for enterprise deployment on day one1
.Productivity Assistants are specialized AI assistants designed for contextual, nuanced, or persona-based work across critical business functions
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. Non-coding employees can easily build the Productivity Assistants they need with admin-defined guardrails, tailoring behavior, content, tools, and access2
. Starting with HR Service Delivery, these assistants extend service directly to managers for HR, talent, growth, and hiring1
. The Talent Insights Assistant surfaces candidate fit, hiring, and organizational talent insights directly to managers through integrations with Findem and Phenom2
. The HR Business Partner Assistant handles HR needs including approvals, case management, and employee programs conversationally, acting as a digital twin to help scale HR teams1
. Manager Assistants equip managers with timely coaching, insights, and team-performance visibility, unlocking information and capabilities that normally sit behind HR people and process2
.ToolSmith represents a new agentic developer environment that builds any automation for ServiceNow EmployeeWorks AI agents
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. Developers describe what they want to accomplish in natural language, and ToolSmith handles the end-to-end build of the tool2
. Trained on over 75,000 APIs, ToolSmith aligns on a plan with developers, implements integrations following best practices, and builds tools optimized for token efficiency and reliability2
. If something breaks, it can pull relevant logs and propose fixes, with developers able to test and refine through the same conversational experience2
. ToolSmith also proactively identifies what to build next by scanning through logs to identify opportunities to fix, improve, or invent the next best workflow2
.Related Stories
For predictable and repeatable work, employees can now build and deploy Productivity Routines that run proactively in the background, eliminating the need to manually repeat tasks continuously
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. These routines execute the same steps every time and deliver finished outcomes without human intervention2
. A Prospecting Agent, for example, can scan calendars for upcoming account meetings, research the account via internal and external resources, and assemble tailored assets or pitches that marry company value propositions to prospect problems—all before employees sign on for the day1
. Employees don't need to understand backend systems, API integrations, or data models; they simply describe what they want to automate, select the tools they need, and deploy2
. This approach democratizes AI by shifting automation power to people who understand the work best2
.ServiceNow EmployeeWorks includes two foundational productivity assistants available out of the box. The Research Assistant investigates complex questions across internal and external sources in real time, delivering personalized answers based on role and access through rich artifacts, documents, or decks
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. The Calendaring Assistant integrates directly with calendar systems as a smart scheduler that deciphers complex calendars, resolves conflicts, reserves rooms, and adds conferencing links2
. It goes beyond typical calendar booking solutions by orchestrating nuanced requests like scheduling quarterly one-on-ones with entire teams on days that minimize disruption to project work or finding the least hectic day for full-day workshops1
. The new Conversations API allows organizations to bring ServiceNow EmployeeWorks capabilities—including Productivity Assistants, Productivity Routines, and ToolSmith—directly into tools employees already use, including custom internal applications, kiosks, and other AI applications2
. Jacqui Canney, chief people and AI enablement officer at ServiceNow, noted that "AI's real promise is to close the gap between intention and action," enabling employees to spend less time on coordination and more time solving customer problems that require human judgement1
.Summarized by
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