Artificial intelligence: development, training and integration · ENGLISH
Service page for projects serving Medellin. Identify repetitive steps and decide where human review should remain. For Medellin, catalogue and enquiry journeys should keep their context from search to detail and contact.
01 · CONTEXT
For Medellin, catalogue and enquiry journeys should keep their context from search to detail and contact.
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 Medellin, confirm with the people involved: For Medellin, catalogue and enquiry journeys should keep their context from search to detail and contact.
A map of automatable steps, approval points and reversible actions.
Start with a dry run and check duplicates, exceptions and recovery.
03 · METHOD
Models, integration and evaluation
04 · ANSWERS
Identify repetitive steps and decide where human review should remain. A map of automatable steps, approval points and reversible actions.
Prepare the task, representative examples, permitted data, privacy constraints and target environment. Avoid sharing sensitive data in an initial enquiry.
Start with a dry run and check duplicates, exceptions and recovery.