Track subscription churn signals in Stripe with AI

An Orkeste agent reads Stripe subscription events, classifies churn signals (voluntary cancel, downgrade, failed renewal, dunning loss), and proposes a save play. Finance and CS approve any outreach or discount before it reaches the customer.

How the workflow runs

  1. Read subscription events: Agent ingests cancel, downgrade, and renewal events from Stripe.
  2. Classify churn type: Distinguishes voluntary, involuntary, and downgrade signals.
  3. Propose save play: Suggests outreach, discount, or graceful exit per signal.
  4. Finance and CS approve: Both finance and CS approve any save offer or outreach.
  5. Execute and log: Approved actions execute in Stripe and CRM, logged for cohort analysis.

Human-in-the-loop: No save offer, discount, or churn outreach reaches a customer without dual finance and CS approval.

Works with your stack

Related workflows

Questions about this workflow

Does it predict churn?

It surfaces signals and proposes plays from real Stripe events; it does not pretend to be a black-box churn score.

Can it apply discounts directly?

Only after dual approval. The agent never issues a discount or coupon without sign-off.

How does it work with our CRM?

Save plays sync to HubSpot, Salesforce or similar; CS owns the human conversation.