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Custom AI apps, agents and automation — Roundly ConsultingRoundly
Category: Data analysisUse case: Predictive analyticsFor: SaaS, subscription & service businesses

Customer churn insight agent

Every customer is scored for churn risk from usage, support and billing signals. The agent explains the drivers behind each score in plain language and feeds a prioritized save-list into your CRM — so retention effort goes where it changes the outcome.

What it solves

01

Churn visible too late

Risk shows up weeks before the cancellation e-mail.

02

Retention spread thin

Effort concentrates on accounts where it changes the outcome.

03

Scores nobody trusts

Every score comes with its drivers, in plain language.

How it works

  1. 01

    Connect

    Usage, support and billing data feed the model, read-only.

  2. 02

    Score

    Each account gets a churn risk score, refreshed continuously.

  3. 03

    Explain

    Drivers behind each score are spelled out — what changed and when.

  4. 04

    Act

    A prioritized save-list lands in your CRM with suggested next steps.

Before & after

Without it

  • Churn discovered in the cancellation e-mail
  • Retention effort spread evenly across all accounts
  • Black-box scores nobody acts on
  • Win-back attempts start after the decision is made

With it

  • Risk visible weeks before the cancellation
  • Save-effort focused where it changes the outcome
  • Every score explained by its drivers
  • Prioritized save-list synced to the CRM daily

Your process could be next.

Tell us what eats your team's time — we'll show you what an AI prototype could do about it.