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Completed demo

Enterprise Health Signal Workflow

Captures customer updates, uses AI to classify risk, routes high-risk accounts to the right CSM, and sends escalation alerts so the next action is obvious.

Tools
n8n, OpenAI, Gmail
Pattern
Classification + routing
Status
Completed for demo
Loom walkthrough coming soon.

The full architecture and design rationale are documented below. To see the build run live, book a 15-minute walkthrough.

Health updates die in inboxes.

CSMs file health-check updates into a CRM or Slack thread. Then nothing happens. By the time leadership notices the pattern across 50 accounts, three are already at terminal risk. The signal is captured but never routed — the system relies on the CSM to escalate, but CSMs over-index on optimism and under-index on hard conversations with their managers about red accounts.

Capture, classify, route.

Capture — A simple form (or webhook from a CRM event) accepts a structured update: account name, summary, sentiment, blockers, action taken.
Classify — An OpenAI call assigns a risk tier (low / moderate / high / critical) based on the update text plus historical health for the account.
Route — High and critical accounts are immediately surfaced to the CS leader via email with a structured summary, suggested next actions, and a link to the full update.
Log — Every update is appended to a Google Sheet so quarterly trend analysis is automatic.

The CSM and the leader see different things.

CSMs file routine updates without ceremony. CS leaders receive only the high and critical alerts, formatted for skim-and-act.

Screenshots coming soon.

The CSM-side form is intentionally low-friction (sub-30-second updates). The leader-side email lists each escalated account with the AI-classified tier, the CSM's reasoning, suggested next actions, and a direct link to call the customer.

Book 15 minutes.

This workflow took roughly four hours to build end-to-end and could be deployed in any CS org in under a week. Happy to walk through the n8n architecture, the classification prompt, and the routing logic — or to discuss how it would adapt to your stack.