Operations
IntermediateClient Health AI Agent
Catch problems before clients feel them.
Continuously monitors client satisfaction through multiple signal channels. The agent checks site uptime, tracks support request frequency, measures engagement with deliverables, and flags accounts showing signs of churn risk. Health scores update daily and trigger proactive outreach when scores dip below thresholds.
How it works
- 01Runs synthetic monitoring checks on all client sites
- 02Tracks support request volume and response times
- 03Measures engagement with delivered reports and updates
- 04Calculates composite health score per client (0-100)
- 05Flags accounts below health threshold for proactive outreach
- 06Generates client health dashboard for leadership review
Requirements
- Portal CRM with client relationship data
- Site monitoring endpoints configured
- Support ticketing data accessible
- n8n for scheduled health checks
Frequently asked questions
How does the AI client health agent calculate health scores?
The agent combines multiple signal channels into a composite score from 0 to 100: site uptime, support request frequency and response times, engagement with deliverables, and payment history. Each signal is weighted based on its correlation with client satisfaction.
Can the client health agent prevent churn?
The agent flags accounts showing early warning signs of churn, such as declining engagement, increasing support requests, or payment delays, before the client reaches out with a complaint. This gives your team time to intervene proactively with targeted outreach.
How often does the health scoring update?
Health scores update daily through scheduled monitoring runs. The agent checks site uptime, reviews support ticket activity, and recalculates composite scores every 24 hours. Threshold crossings trigger immediate alerts.
Ready to put the Client Health agent to work?
Start with a conversation. We'll walk through where this agent fits in your week and what it takes to get it running.
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