Enterprise Knowledge Search · IT Operations Automation
ServiceNow wanted to solve complex operational problems across IT, employee, sales, and developer workflows, starting with a need to make its IT service desk more efficient and then reduce manual work, improve self-service, and help staff find and produce information faster.
Reported impact
ServiceNow reports early gains in productivity, agility, and employee experience from moving multiple generative AI use cases from pilots into production, with positive employee feedback on self-service answers, increased agent satisfaction, and faster developer work.
ServiceNow describes a multi-use-case generative AI deployment running on the Now Platform across its own operations as a first-party adopter. The implementation builds on earlier machine learning in Predictive Intelligence, which predicts business service and routes incidents to the right assignment groups, and extends that foundation with AI Search, AI Search with GenAI, Now Assist for IT Service Management, Now Assist for Creator, and the Generative AI Controller. User questions, incident work notes, and knowledge content are processed inside Now Platform workflows; AI Search with GenAI sends retrieved information to an LLM to synthesize a single actionable answer with follow-up Q&A, while Now Assist summarizes incident histories for agents and converts natural-language prompts into code suggestions for developers. Generative AI Controller acts as the reusable integration layer for connecting ServiceNow instances to domain-specific or general-purpose LLMs so teams can embed generation into workflows such as knowledge base content creation without rebuilding integrations each time.
User questions, incident work notes, and knowledge content enter workflows on the Now Platform. AI Search with GenAI retrieves supporting information and sends it to an LLM for synthesis into a single answer, while Now Assist summarizes work notes or converts developer prompts into code suggestions. The outputs are then returned to employees, agents, developers, and the sales team inside their existing ServiceNow workflows.
"A question-and-answer capability helps our sales team find answers to specific questions about our products and solutions, including source citations."
"AI Search with GenAI – This generates actionable answers to user-asked questions to significantly improve self-service. Data is sent to a large language model (LLM), which summarizes the information into a single answer."
"Now Assist for Creator ... Generative AI converts the text into intelligent code suggestions or complete code"
"Now Assist for IT Service Management – This is an internally developed use case to increase agent productivity. It uses generative AI’s summarization features to produce a summary of incident work notes"
"The controller allows us to connect ServiceNow instances to our domain-specific LLMs or general-purpose LLMs ... We’re using it for knowledge base content generation."
"This year alone, we will have brought more than 15 Now Assist use cases to production on the Now Platform"
"We used the machine learning capabilities in Predictive Intelligence to help predict the business service and route incidents to the proper assignment groups."
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Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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