You said it plainly: don't dump money into AI to look current: show the objective result, all costs in. The scarce resource at HumLife360 is Nudge Friend hours, not cash. This converts them into patient capacity.
The assembly is what caps a caseload. Cut it and the ceiling lifts.
34 min saved per patient × ~135 patients across three Nudge Friends × 26 cycles a year = ~1,990 hours freed.
Illustrative, using discovery figures and a 38→4 minute assembly estimate. We calibrate every number against your real caseload and channel volumes before anything is committed.
Drag to your real headcount. Capacity assumes about 45 patients held well by hand versus about 120 with assembly offloaded: the same care depth.
The gap between what your team can hold by hand and what they can hold with the system widens over time. That's the curve that makes the insurer play possible.
Every Nudge Friend who joins begins at the higher baseline of about 120 patients from week one, up from the manual 45. Nobody starts from the old ceiling again.
As the context layer deepens and drafts need less editing, the four minutes shrinks. The system gets cheaper to run per patient the longer it runs.
Serving 10,000 on a high-touch model by hand is impossible economics. This is the unit-cost curve that makes B2B2C real.
Even if the running cost were higher than a shelf tool (it isn't), the trade is your rarest resource, counsellor time, for cheap and flat compute. That maths only improves with scale.
A focused first build of the Tier-1 wedge, the Nudge Friend view, on a slice of your real caseload, proving the 34 minutes and the assembled read against your own patients before anything scales. Every use case you listed is sequenced on its own tab.