AI GLOSSARY

Designed for Deployment

Designing for deployment refers to an approach for developing AI systems that deliver real-world operational impact, especially in high-stakes applications. Unlike other approaches to building AI which may perform well in theory, systems that are designed for deployment must be built specifically for the problem they aim to solve. They take into consideration the environment in which they will be deployed (including the operational needs), the AI technologies that are available, and the time required to achieve success. This approach encourages iterative learning and testing with users to refine AI solutions and adapt to emerging operational requirements, making the development process a continuous cycle rather than segmented phases.