Most AI chat deployments fail for the same three reasons. Here's the qualification architecture we use instead.
AI intake agents are being deployed faster than they are being measured. In the accounts we audit, the most common failure is not the model — it is the absence of a qualification contract between marketing and sales.
Start by writing down what a qualified conversation looks like: the five data points a human rep needs before a call is worth booking. Anything the agent cannot capture reliably should be escalated, not guessed.
The second failure is silent handoff. If the agent books a meeting but never writes the transcript and score into the CRM, the rep starts cold and the model never learns. Instrument the handoff first, then tune the prompt.
Finally, measure agents against signed revenue, not deflection rate. Deflection is a cost metric. Revenue per conversation is a growth metric, and it is the only one that survives a budget review.