Brad Sills

Garrett emphasized the AI innovation is a continuation, not a new start, citing 1 billion+ AI actions already in production. Described three innovation vectors: Paradox for AI-driven hiring, Sana as AI experience layer, and Pipedream for enterprise-wide orchestration. Carl added Workday's unique data, context, and workflow positioning.

Carl cited Evisort growing 100%+ QoQ, Extend Pro growing 100%+ YoY, and customer experience center engagement at all-time highs requiring new CXCs in New York and London. Customers view investing in Workday as investing in their AI strategy.

Carl highlighted strong momentum in medium enterprise driven by Workday GO launch in Q1. Brought in a seasoned executive to run medium enterprise globally and expects it to be a strong source of growth going forward.

Carl said no meaningful difference between buying centers, characterizing the environment as the 'new norm' that played out the same in Q1 as in prior quarters.

Carl explained WorkdayGo combines better pricing/packaging, partner-supported faster deployment (60 days), and enterprise-grade platform for emerging and medium enterprise customers.

Carl highlighted Bayer and Henkel wins in Germany (competitor's backyard). Zane cautioned FY26 outlook does not assume meaningful macro improvement in EMEA.

Carl explained government and higher ed customers tend to buy full suite, with the student product giving competitive advantage in higher ed and supply chain in healthcare.

Amit confirmed hybrid model very well received, customers like flexibility plus predictability. Other vendors copying the structure. Lighthouse accounts like NVIDIA, Ulta Beauty, AstraZeneca help accelerate adoption with similar use cases.

Amit said AI drives cross-functional workflow adoption and is creating new areas like security governance, agent identity management, and industry-specific packaged workflows. New workflow categories emerging from Creator and the agentic platform.

Amit said prepackaged agents can be deployed in weeks since they're part of the same platform. Multi-system orchestration requiring agent-to-agent communication takes a few months. Bill added internal metrics: 16x lead-to-sale conversion and 86% deflection of routine work.

Bill confirmed CRM is the fastest growing business and cited ServiceNow's own internal metrics: 85% AI-driven customer self-service, 80% case deflection, 400K labor hours saved, and 16x prospect conversion rate improvement from AI agents.

Management pointed to its self-build organization and supply-chain embedding rather than one delay's lessons; partial.

Management cited broad-based demand led by large labs with green shoots in enterprise and financial verticals; answered directly.

Management described the layering dynamic as customers repeatedly expand contracts across GPU generations; answered directly.

Praveer said growth is broad-based with international revenue up about 42%, slightly outpacing domestic.

Praveer cited early Draw uptake among existing customers as they elevate craft, with Buzz still rolling out.

Dylan said usage distribution is early and will shift in unpredictable ways as AI functionality expands.

Sasan noted payments agent (paid 5 days faster) and accounting agent (saving 12 hours/month) as top performers. Customer focus is on getting work done, not AI technology itself.

Sasan noted 10% higher payment volume and conversion for invoice reminder users, getting paid 5 days early. Expanding to line of credit, instant deposit, and AI-generated estimates from handwritten notes.

Sasan highlighted shift from software to services model, experts matched in seconds, taxes done in under 2 hours. Strong funnel and bullish on rest of season.

Dev cited the MongoDB 8.0/8.1 releases already paying dividends and platform-expansion investments, but deferred specifics to the September 17 Investor Day; a partial answer.

Dev said he is very bullish long-term; Serge clarified 'transition year' means app modernization and AI-stack initiatives are only incrementally beneficial to FY26 revenue but meaningful beyond.

Dev gave a rundown across search, vector search (uptake very high), and streaming (demand very high), citing strong reception for search nodes and quantization.