Pilot to Production AI Guide for Platform Teams
Enterprise AI pilots are easy to build and difficult to operationalize. Across industries, organizations have successfully demonstrated internal copilots, RAG knowledge assistants, and LLM-powered automation workflows. Yet a large percentage of these initiatives stall before reaching scaled production deployments. The primary obstacle is not model quality, it is system design.
This guide introduces a systems-oriented approach to moving from pilot to production, centered on AI orchestration and context engineering. By building AI systems as modular, tunable pipelines rather than model integrations, enterprise teams can minimize artificial tradeoffs and build AI capabilities that are resilient, governable, and economically sustainable.
In this report you will learn how to:
- Optimize for AI system reliability and accuracy without uncontrollable cost escalation
- Embed governance and data security & compliance requirements within an AI system at scale
- Control and adjust to evolving use cases and changing requirements with a modular and flexible framework
Download the guide now to learn more.
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Gartner Cool Vendors in AI Engineering, Arun Chandrasekaran, Manjunath Bhat, Arup Roy, George Brocklehurst, 6 November 2024
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