We’re launching Lyria 3.5 in Google Flow Music, with advances across musicality, lyrics, vocals, and creative control
deepmind.google·6d ago
AI Engineering
OpenAI Blog·Jan 20·5 min read
ServiceNow powers actionable enterprise AI with OpenAI
TL;DR
Enterprise software platforms like ServiceNow lack direct access to cutting-edge AI models, limiting their ability to automate complex business workflows. ServiceNow integrated OpenAI's frontier models (latest GPT versions) into its platform to enable AI-driven summarization, search, and voice capabilities across enterprise applications.
✦ Why It Matters
Engineers can now build AI-powered enterprise workflows using OpenAI models directly within ServiceNow without custom integration work.
Key Takeaways
- Integrate OpenAI models into ServiceNow to enable summarization and semantic search without custom development.
- Use voice capabilities to reduce manual data entry in enterprise IT and service management processes.
- Deploy AI workflows across customer service, IT operations, and knowledge management simultaneously.
- Reduce infrastructure overhead by leveraging managed API access instead of self-hosted models.
Full Summary
ServiceNow, a cloud platform managing enterprise IT and business processes, previously lacked native access to state-of-the-art large language models (LLMs—AI systems trained on vast text data). This gap prevented ServiceNow users from leveraging frontier models (the most advanced AI systems available) for automating knowledge work.
ServiceNow partnered with OpenAI to embed OpenAI's frontier models directly into the ServiceNow Platform, enabling three core capabilities: automated summarization of business documents, semantic search (finding relevant information by meaning rather than keywords), and voice-to-text processing. The integration allows enterprises to build AI-driven workflows—automated sequences of business tasks—without managing separate AI infrastructure.
Organizations can now apply advanced language understanding to customer service, IT operations, and knowledge management within their existing ServiceNow deployments. This approach reduces implementation complexity and accelerates time-to-value for enterprise AI adoption.