USE CASE
The scenario: A CSM is heading into renewal season with 45 accounts to assess. Reviewing each equally takes days, and the ones in real churn trouble get lost in the noise.
What they do: The CSM pastes account health data for all 45 accounts into a Claude Project configured as a SaaS Churn Prevention and Save Desk workspace. Claude produces a 1–10 risk score for each account with specific evidence, red-zone flags for accounts scoring 7+, risk categorization (low adoption, stakeholder change, competitive threat, budget issue, product-fit gap, relationship health), and a primary intervention with talking points for each flagged account.
The result: The CSM focuses attention on the accounts most likely to churn — with a reason, a category, and a starting move already written — instead of reviewing all 45 equally.
A practical AI workflow for B2B sales — the prompts below run this play end to end, in Claude, ChatGPT, Gemini, or Copilot.
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