Agentic AI at Scale: The Rackspace Story

See how four AI agents transformed our operations, and how the lessons we learned can accelerate your AI journey.

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Scaling agentic AI requires the right architecture, the right processes and a workforce that knows how to use it. Our new e-book breaks down the steps we took to AI adoption and illustrates how you can build the foundation you need to move from AI pilots to production-ready impact.

Inside, we explain how we built an enterprise AI fabric, raised AI fluency across our workforce and deployed four production-grade agents now supporting sales, IT, HR and legal operations. You’ll see what worked, what we refined along the way, and how you can apply the same patterns to accelerate responsible AI adoption in your own organization.

Four agents. Enterprise scale.

You’ll also get a closer look at the four AI agents now running in production across our global environment, including the outcomes they delivered and the lessons you can apply in your own organization:

  • REX (sales enablement): Saved 12 hours per seller per quarter by consolidating enterprise knowledge into a single conversational interface
  • RITA (IT service management): Automated 70% of daily service desk volume while providing 24×7×365 support
  • LEIA (legal & compliance): Eliminated roughly 150 hours of manual review each month and achieved 40% faster case handling
  • AskHR (employee support): Reduced unresolved HR queries by 50% and reached full deployment in just three months

Together, these AI agents serve as a case study of the architectural patterns, development practices and operational models that can help you scale agentic AI responsibly and with greater confidence.

Take the next step toward operationalizing AI today.


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