ServiceNow (NOW) Jefferies Software, Internet & AI Conference summary
Event summary combining transcript, slides, and related documents.
Jefferies Software, Internet & AI Conference summary
27 May, 2026AI platform evolution and innovation
Now Assist evolved from GenAI summarization to an agentic platform orchestrating AI agents for end-to-end task completion, increasing efficiency and value for users.
AI Control Tower was introduced to address governance, security, compliance, and visibility, enabling seamless integration with third-party systems.
20 AI specialists now automate full end-to-end workflows across domains like HR, FinOps, and security, allowing measurable ROI compared to human equivalents.
AI capabilities are now embedded across all product tiers, simplifying adoption and monetization, with tiered SKUs from Foundation to Autonomous.
Integration with leading AI providers and third-party agents ensures a heterogeneous, unified platform for enterprise customers.
M&A strategy and platform expansion
Recent acquisitions (Armis, Veza, Moveworks, Logik.io) enhance security, non-human identity management, conversational AI, and CPQ capabilities.
M&A remains focused on tuck-ins for IP, talent, and domain expertise, with no major shift in strategy anticipated.
Security and risk management are now core differentiators, with Armis and Veza expanding asset and identity visibility.
Moveworks acquisition modernized the UX with conversational, multimodal, and omnichannel experiences.
Unified platform enables rapid domain expansion (e.g., CRM, HR, finance) without re-platforming, leveraging the same technology stack.
Data and analytics growth
RaptorDB, a custom HTAP Postgres database, underpins all products, offering high scalability and performance.
RaptorDB Pro delivers 17x performance, supports advanced analytics, and integrates with major data platforms.
Workflow Data Fabric and semantic layers enable analytics apps and integration with 300+ data systems.
Data analytics business reached $100M ACV in four quarters, with ambitions to surpass $1B.
Data stack is positioned as a major future growth engine, supporting insight-to-action use cases.
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