AI Implementation & System Development

AI Application Development

A concise overview of AI Application Development, how it relates to AI Implementation & System Development, key considerations, and conditions to confirm.

Challenge to examine

For AI Application Development, we identify whether the core issue sits with users, workflow, or expression before choosing a solution. The relationship to AI Implementation & System Development remains visible so the reasons behind each decision can be reviewed.

Use context

For AI Application Development, we distinguish users, decision-makers, and operators and define the information and controls each group needs. The relationship to AI Implementation & System Development remains visible so the reasons behind each decision can be reviewed.

Deliverables

For AI Application Development, we combine requirements, prototypes, produced assets, and operational guidance around the purpose. The relationship to AI Implementation & System Development remains visible so the reasons behind each decision can be reviewed.

Working approach

For AI Application Development, we work in stages, testing small and carrying review findings into the next decision. The relationship to AI Implementation & System Development remains visible so the reasons behind each decision can be reviewed.

Quality and rights

For AI Application Development, human reviewers check sources, rights, accuracy, safety, and accessibility against use-specific criteria. The relationship to AI Implementation & System Development remains visible so the reasons behind each decision can be reviewed.