LLMs in ServiceNow vs ServiceNow's Own AI
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Jul 01, 2026
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External LLMs You Can Integrate INTO ServiceNow
ServiceNow supports integration with various external LLM providers via AI Connectors:
Some popular Integrations are listed below:
- OpenAI (GPT-4, GPT-4o, GPT-3.5-Turbo)
- Google Gemini (Gemini Pro, Gemini Ultra)
- Microsoft Azure OpenAI (enterprise deployments)
- Anthropic Claude (various versions)
- Custom/On-Premise Models (via REST API connectors)
Where are they used: Flow Designer, Virtual Agent skills, custom scripted workflows, AI Search enhancement
ServiceNow's Own LLM: NowLLM
ServiceNow Now LLM is a proprietary, domain-specific Large Language Model developed by ServiceNow. It is custom-built to understand enterprise workflows and securely automate platform tasks—such as incident summarization, code generation, and intelligent virtual agent responses—without risking corporate data privacy.
Core Architecture
- Specialized Design: Unlike general-purpose models (like standard ChatGPT), Now LLM is specifically optimized for business, HR, and IT workflows. It is built upon the GPT-43B architecture and specialized encoder-decoder mechanisms.
Integrated Ecosystem: It forms the backbone of ServiceNow's Now Assist features, providing in-platform capabilities rather than acting as a standalone chatbot, which includes the following Now Assist Components:
Now Assist for IT Service Management
Now Assist for Field Service
Now Assist for Virtual Agent — conversational workflows
Agentic AI & AI Agents — autonomous workflow execution
AI Search — semantic search across enterprise data
Skill Kit — build agentic reasoning capabilities
NowLLM vs. Third-Party LLMs
Choosing between the native model and external providers depends heavily on your specific business requirements, workflows, and governance.
| Feature / Criteria | Native NowLLM | Third-Party LLMs (Azure OpenAI, Claude, Gemini) |
|---|---|---|
| Best For | Out-of-the-box (OOTB) ServiceNow workflows (ITSM, HRSD, CSM). | Cross-platform orchestration and complex, multi-step custom logic. |
| Data Context | Pre-trained specifically on domain-specific IT and enterprise service data. | General-purpose, though highly versatile across broader non-ServiceNow data. |
| Setup & Maintenance | ServiceNow Now Assist licensed; automatically patched and updated. | Requires a Bring-Your-Own-Key (BYOK) setup, API management, and external billing. |
| Security & Privacy | Strict in-platform data governance, data masking, and compliance tracking built-in. | Requires aligning your corporate external cloud guardrails with ServiceNow. |
Conclusion
Use NowLLM for quick value, less maintenance, and seamless handling of incidents, knowledge base generation, or chat summaries. Opt for a Third-Party LLM if your enterprise has an existing, heavily-tailored global AI architecture or requires advanced agentic orchestration spanning external platforms
Disclaimer: Any opinions expressed here are my personal views and should not be attributed to any organization with which I am associated.
https://www.servicenow.com/community/servicenow-ai-platform-blog/llms-in-servicenow-vs-servicenow-s-own-ai/ba-p/3567161