Conversational Generative AI

Customer Support AI

A concise overview of Customer Support AI, how it relates to Conversational Generative AI, key considerations, and conditions to confirm.

Challenge to examine

For Customer Support AI, we identify whether the core issue sits with users, workflow, or expression before choosing a solution. The relationship to Conversational Generative AI remains visible so the reasons behind each decision can be reviewed.

Use context

For Customer Support AI, we distinguish users, decision-makers, and operators and define the information and controls each group needs. The relationship to Conversational Generative AI remains visible so the reasons behind each decision can be reviewed.

Deliverables

For Customer Support AI, we combine requirements, prototypes, produced assets, and operational guidance around the purpose. The relationship to Conversational Generative AI remains visible so the reasons behind each decision can be reviewed.

Working approach

For Customer Support AI, we work in stages, testing small and carrying review findings into the next decision. The relationship to Conversational Generative AI remains visible so the reasons behind each decision can be reviewed.

Quality and rights

For Customer Support AI, human reviewers check sources, rights, accuracy, safety, and accessibility against use-specific criteria. The relationship to Conversational Generative AI remains visible so the reasons behind each decision can be reviewed.