01
Start with a real problem
AI is most useful when it reduces a repetitive task, improves discovery, summarizes information, personalizes a workflow or gives users a genuinely useful interface.
02
Connect AI to reliable information
For knowledge-heavy experiences, retrieval can help an AI system use relevant business information rather than relying only on general model knowledge.
03
Design the interaction, not just the model
An AI feature still needs clear states, useful feedback, error handling, loading behavior and a path for users to recover when the answer is incomplete.
04
Keep humans in control
For important commercial decisions, AI should support people with transparent workflows and appropriate review rather than pretending to be infallible.