Scores every tenant's churn risk daily and automatically reaches out to the ones most likely to leave.
It branches. Exactly one path is taken; runs once per each tenant.
Pattern: Exclusive Choice (4) · Simple Merge (5) · Multiple Instances with a priori Run-Time Knowledge (14)
You don't find out a tenant is unhappy until they've already given notice, and by then it's too late to fix it. Manually reviewing every tenant's service requests and feedback to catch warning signs isn't realistic across a whole portfolio.
A property management company or SaaS provider managing tenant or customer retention at scale.
You get an early warning on tenants who might leave, plus a personalized message already sent to try to keep them.
The hard question is not how to build it. It is whether this is the right thing to build first.
That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.
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