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AI automationMembership renewals

AI for membership renewals: see the lapse coming.

Most lapses are leaks, not decisions. AI on the member record can see them forming: the member who stopped logging in, skipped the conference, left a request unanswered. Staff get the list in time to make a call.

Start with an auditAI across the platform

What it does

From a reminder at expiry to a renewal season you can see.

  • A risk list, weeks early

    Members whose activity has dropped appear on a list before their membership expires, with the reasons next to each name.

  • Reminders that sound like a person

    Each reminder mentions what that member actually used this year. Staff approve the wording once; the details fill themselves in.

  • A call list for each chapter chair

    The members most at risk in each chapter, with what to mention on the call. A call from a peer renews more members than an email.

  • The leak, explained

    A monthly summary of why members lapsed, from cancellation notes and activity, by chapter and membership category.

How it works

Signals your record already holds.

Nothing new is collected. The platform already knows who logged in, who registered, which requests went unanswered and which invoices are open. The renewal tools weigh those signals; staff decide what to do with the list.

The first version is often a set of clear rules, because rules are easy to explain to a board. AI is added where the rules miss people, and the blueprint says which is which.

Read next

Where to look next.

See the lapse coming, in time to call.

Start with a three-week audit: every tool mapped, a blueprint and a fixed quote. No sales deck.

Start with an audit