How to build an AI-first enterprise: Elastic's internal playbook

Learn how to build an AI-first enterprise, from the inside. Elastic CIO Adnan Adil and AI Services and Enablement Lead Devin Rhoades share the internal playbook behind our own AI-first enterprise transformation.

Discover the conversational AI and agent use cases we shipped across support, sales, security, and IT. See how we measured ROI and our results. And learn more about the data foundation, governance, and unified architecture we're building toward.

We run every AI workflow as customer zero: grounding models in proprietary data and instrumenting each one for accuracy and business impact before it ships. We’re sharing what we learned in a practical, metrics-driven guide for IT leaders moving from scattered pilots to one governed AI system.

Highlights

• What an AI-first enterprise actually looks like: How we moved from isolated AI experiments to one governed, scalable system, and why fragmentation was the real problem to solve
• The ROI of AI we measured: Based on our internal tracking: $1.7 million in first-year cost avoidance, a $372 million AI-influenced sales pipeline, and roughly 1,300 work days saved annually
• How to architect an AI-first enterprise: The phased path from a strategic data foundation and governance framework to a unified agent hub

Additional resources

• Webinar: The new competitive advantage: Using observability to monitor AI applications
• Blog: How IT leaders can measure the ROI of agentic AI initiatives
• Gartner report:With AI agents, you need a new way to calculate cost and value