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Becoming an AI-First Organization
A live session series for the leaders who own the AI rollout. It is built on what Gauntlet sees across our hiring partners, challengers, and graduates, with evidence on what working teams actually do.
What an AI-first organization actually is
An AI-first organization is designed around AI as a core operating principle, not as a collection of tools. It increases the productivity of individuals, redesigns workflows and processes from the ground up, and continuously rethinks how work should be done as AI capabilities evolve. Rather than layering AI onto existing systems, AI-first organizations rebuild the way they operate across engineering, sales, customer success, and every other function. The result is a company that can move faster, scale more efficiently, and create leverage at every level of the organization.
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AI-First Organization On Demand
Catch up on every AI-First Organization session.
The library includes recordings from previous sessions, along with the slides, the resources, and the transcript. Sessions cover AI adoption, measurement, ROI, team performance, tooling, org strategy, hiring and talent, and production AI.
Get RecordingsWhat this series is
This is a working session for leaders building AI-first organizations. We share what we're seeing across hundreds of companies, thousands of engineers, and the teams moving fastest with AI. The focus is not on hype or theory. It's on the decisions, process changes, and organizational patterns that actually drive results. The series is free and designed for CTOs, CEOs, and VPs who are accountable for AI outcomes across their teams.
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100% Free
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Built for Leaders
For the CTO, CEO, or VP who owns org-level AI outcomes.
Evidence Over Opinion
Grounded in what Gauntlet observes across teams adopting AI.
Practical
Measurement, tooling, and decisions you can act on this quarter.
Frequently asked questions
What is an AI-first organization?
An AI-first organization is one that has redesigned how work gets done around the capabilities of AI. Instead of treating AI as a productivity tool, it becomes part of the operating model for how products are built, decisions are made, and teams create value. The goal is not simply to use AI, but to generate significantly more output, quality, and leverage because AI is embedded into the way the organization works.
AI-first versus AI-enabled, what's the difference?
An AI-enabled organization uses AI tools to improve existing workflows. An AI-first organization redefines those workflows because the tools exist. The difference is between adding AI to your current process and rebuilding the process around what AI makes possible. Most companies today are AI-enabled; the organizations creating outsized results are becoming AI-first.
How do you become an AI-first organization?
Becoming AI-first requires both capability and commitment. Teams need production-grade AI builders who can reliably ship AI systems, and leaders need to redesign processes, incentives, and workflows around those new capabilities. Organizations typically get there by upskilling existing talent, hiring experienced AI practitioners, or combining both approaches while continuously adapting how work gets done.