Shadyy AI — Data Access, Human Review & Operational Controls
Make the operating boundaries clear before a workflow goes live.
Prepare your Shadyy AI evaluation with questions about data access, approvals, retention, testing and operational ownership.
Begin with the information the workflow needs
List the source systems and the minimum information required for the task. Identify who can authorise access and which data should be excluded. During evaluation, use synthetic or appropriately approved examples. Do not send passwords or unnecessary sensitive records through an enquiry form.
Define permissions and approval points
Preparing a draft is different from sending it or changing a business record. Agree permissions for each action, identify the reviewer and define escalation conditions. Confirm whether an approval applies to a specific output and what happens when the underlying information changes.
Ask for deployment-specific answers
Before production use, request written details covering hosting, model providers, data retention and deletion, access management, logging and support responsibilities. These details depend on the proposed implementation. This page is an evaluation checklist, not a claim that a specific security certification, hosting location or retention policy applies to every solution.
Test exceptions and assign ownership
Include missing data, duplicate events, incorrect outputs and unavailable connections in acceptance checks. Decide how work can be paused and recovered. Name the person responsible for reviewing changes and maintaining approved knowledge after launch.
Discuss your requirements
Share your business context, current tools and the decisions you need to make. Confirm fit, scope and responsibilities before committing to a project.