Artificial intelligence: development, training and integration · ENGLISH
Service page for projects serving David. Choose where a model helps a workflow and how its output will be checked. In David, a clear mobile experience helps people check coverage, service details and how to request it.
01 · CONTEXT
In David, a clear mobile experience helps people check coverage, service details and how to request it.
02 · PRACTICAL BRIEF
Models, integration and evaluation
Define the task, representative examples, permitted data, evaluation goal and runtime environment. Leave sensitive data out of the initial brief. Before finalising the brief for David, confirm with the people involved: In David, a clear mobile experience helps people check coverage, service details and how to request it.
An analysis of where AI adds value and where conventional software rules are enough.
Compare quality, errors and cost against a non-AI baseline.
03 · METHOD
Models, integration and evaluation
04 · ANSWERS
Choose where a model helps a workflow and how its output will be checked. An analysis of where AI adds value and where conventional software rules are enough.
Prepare the task, representative examples, permitted data, privacy constraints and target environment. Avoid sharing sensitive data in an initial enquiry.
Compare quality, errors and cost against a non-AI baseline.