Im seeing teams focus on the model itself but I’m starting to think the data behind it matters just as much. If an AI agent is meant to handle real customer conversations then it seems like it should learn from the way your best reps actually solve problems instead of relying on generic scripts, interested to know how much of a difference good conversation data makes once the agent is live.
Conversation data is everything. Tried fine-tuning a model once on synthetic scripts instead of real rep transcripts agent was just polite and useless. Swapped to actual top-rep logs and conversion jumped 30%. The model's just the brain; the data is the memory.
