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Customer Success Intelligence

AI-Powered Customer Success

Detect customer risk before churn.

Customer Health Risk Analyzer combines operational customer data, deterministic business rules, and AI agents to identify risk and recommend the next best action.

Analyze a CustomerView Project

Powered by n8n + Gemini

First time here? Guided Demo

Example analysis

Illustrative preview

Customer

Futura· C006

Risk Level

MEDIUM Risk

Category

ENGAGEMENT_RISK

Priority

MEDIUM

Recommended Action

Contact the customer about the drop in usage.
Illustrative example of an analysis result. Not live data.

How it works

From raw account data to a clear next step

Deterministic rules and AI agents each do what they are best at, in a single automated workflow.

  1. 01

    Customer Data

    Google Sheets provides operational customer data.

  2. 02

    Risk Detection

    n8n calculates deterministic customer-health signals.

  3. 03

    AI Reasoning

    Gemini agents classify risk, extract signals and decide follow-up.

  4. 04

    Action

    The application presents the recommended action to the user.

Signals

What the system evaluates

Four operational indicators drive every customer-health assessment.

  • Customer inactivity

    Time elapsed since the customer last logged in.

  • NPS / satisfaction

    The latest Net Promoter Score reported by the customer.

  • Support escalation

    Whether the account currently has an escalated support case.

  • Renewal proximity

    How close the contract is to its renewal date.

Ready to analyze customer health?

Pick a customer and get a risk assessment with a recommended next action.

Analyze Customer