cancel forgotten subscriptions with your ai agent.

find the charge and who actually bills it.

look across bank accounts, credit cards and app-store receipts. a service can appear under its parent company or be billed through another platform. match a statement description with the receipt before treating it as an extra subscription.

a recent statement catches monthly services. a longer search of renewal emails can find annual ones. include family plans, services bundled inside another membership and trials that became paid subscriptions. keep one list with the merchant, billing route, next renewal, annual cost and the account that owns it.

choose what to stop before cancelling.

ask your ai to show the cost and what you would lose. a subscription may include stored files, a family member’s access, a domain name or something you still need. export important data and check any remaining commitment before changing the account.

cancelling renewal and requesting a refund are separate jobs. the provider’s current terms determine whether an already-paid period can be refunded. the FTC’s subscription guidance explains checking cancellation terms and keeping confirmation. let your ai use that as background while it finds the actual instructions for each provider.

check what happened after the request.

save the cancellation confirmation and the date service ends. a support conversation saying someone will look into it is not the same as renewal being switched off. check the account status and the next statement, including any bill from an app store that handles payment.

record a refund separately from the future cost you have stopped paying. an offer to pause billing may be useful, but it needs a restart date and reminder. if a charge continues after a confirmed cancellation, give your ai the confirmation and the new statement so it can prepare a factual follow-up.

for overlapping household accounts, use our post on finding duplicate bills. for a refund already refused, see how to prepare an appeal.

what people have reported.

these are public reports from our research, linked to the authors’ original posts.