The quality of an AI assistant's answer depends not only on the model, but also on the source and freshness of the data and the user's access permissions. As Databridge moves information reliably, Brain should preserve this context and provide clear recommendations.
Key takeaways
- Define a trusted system of record for every data point.
- Preserve company, warehouse and channel access boundaries at every step.
- Present AI recommendations with their source, timestamp and human approval.
Clarify the meaning of data together
Order status, inventory quantity or product identity can mean different things in different systems. Define from the outset where each data point comes from, in which direction it is updated and how issues are handled.
Verify transfer outcomes
The fact that data was sent does not by itself prove it was processed correctly by the receiving system. Databridge should verify the outcome, prevent duplicates and alert the relevant team only when intervention is required.
Preserve access boundaries at every step
Brain must use only data from companies, warehouses and channels the user is authorised to access. Information shown on screen and recommendations provided must follow the same access rules.
Make freshness part of the answer
A decision based today on yesterday's inventory data may be misleading. The last-updated time and data quality should be visible to the user.
Separate recommendations from actions
AI-recommended price, transfer or campaign changes must not be applied automatically; they should be reviewed and approved by a person with the appropriate authority.