Context makes the difference
A model can generate an answer, but a useful business system needs relevant information. That information may live in product catalogs, internal documents, a CRM or the history of a customer request.
Connect carefully
An integration needs more than a connection to an API. It should respect access permissions, account for changing data and make it clear when an action needs a person to review it.
Design the whole workflow
Think about what happens before and after an AI response. Where does a request enter? What tools are available? Who checks important decisions? How does the result get back to the person who needs it?
Keep it useful
Connected tools change over time. Monitoring, maintenance and feedback help an AI integration keep working as the organization evolves.
