10 best practices for getting agentic AI apps and agents to production

Enterprise-level deployment of agentic AI applications faces challenges beyond technology, necessitating strategic alignment with business objectives to ensure sustainable value rather than remaining in perpetual pilot mode. Key best practices for successful deployment include starting with a clear AI strategy, systematically evaluating potential use cases, and designing AI solutions with production requirements in mind. Establishing comprehensive AI governance, focusing on integration architecture, and prioritizing user experience are crucial elements. Organizations should progressively build internal capabilities, implement continuous improvement processes, and proactively address change management to mitigate resistance. Finally, scaling AI through reusable components can accelerate deployment and ensure consistency, ultimately transitioning agentic AI from experimentation to enterprise-wide application by addressing technology, process, people, and governance comprehensively.

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