See the cancellation coming weeks before the email.
Most owners find out a customer is leaving when the cancellation email lands. By then the relationship is gone. AI watches health signals daily and flags the accounts that are drifting, so you can save them while there's still a save in play.
You can't retain customers you didn't know were leaving.
The maths on retention is lopsided. It costs five to seven times more to win a new customer than to keep an existing one, and a 5% lift in retention can lift profitability by 25-95%, depending on the industry. Most owners know this and still have no retention strategy, because retention means seeing the future of accounts that look fine on the surface.
The cancellation seems to come out of nowhere because the signals were never being read. Engagement dropped two months ago. Logins fell away four weeks ago. Support tickets stopped. None of it triggered an alert, because nobody was watching, and the customer was gone before the email arrived.
AI watches daily and flags the accounts still worth rescuing.
The customer health engine connects to whatever signals your business generates: login frequency, usage patterns, support ticket volume, invoice payment timing, reply times in account communications, engagement with marketing. Whatever your systems can see, the brain watches.
Each account gets a daily health score that moves with the trajectory of the signals, not their absolute level. A customer engaged for two years who suddenly drops to 60% is more at risk than a new customer sitting at 40%. The brain reads the slope.
When the slope turns concerning, the account goes to the top brass in the daily brief, with a recommended action: a personal call from the account owner, a re-engagement campaign, or a check-in to surface the problem. The brain learns from the outcomes, the interventions get sharper and retention climbs.
The signals were always there. The team couldn't watch them.
The data was always sitting in the CRM, the billing system and the support log. What was missing was anyone with the time to watch it every day. That is the gap the engine is built to close: surfacing the accounts the team didn't realise were drifting, early enough that a thoughtful outreach still has a chance of working.
Standalone churn tools watch one system. The Foundation watches all of them.
Customer success platforms (Vitally, ChurnZero, Gainsight) predict churn inside software businesses, where the product is the only signal source. Service businesses generate signals across CRM, billing, support, communication and scheduling. The Foundation reads all of them, and the score is more accurate because the inputs are wider.
See how the Foundation works.
The AI brain, the data layer, the workforce. Three-week install. Yours from handover. Or start with the AI Strategy Intensive, a two-hour paid plan credited to the build.
Keep the customers you've already won.
Thirty minutes with Titus. We map your customer signals, where retention is leaking, and whether a churn engine would compound for you.
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