A useful distinction

A book, not a promise of autonomous growth.

AI for Revenue is a published record of Joel's thinking. It does not turn every AI use case into an Xpand service.

Xpand's current AI solutions focus on two contained revenue workflows: re-engaging eligible first-party database records and reducing the delay between a new enquiry and a useful human response.

The practical questions are simple:

Is the underlying process already worth improving?
Can consent, data quality and human ownership be verified?
Which measurable event will decide whether the workflow helps?

Those answers should come from your evidence, not from whichever service an agency happens to want to sell.