Zara (Customer Success Agent)
0
New
March 31, 2026
V1.0.0
What does this employee do?
Zara monitors customer health and automatically triggers re-engagement workflows when she detects a drop in activity. She manages client intake processes and prepares weekly performance reports to keep the team updated. Her role focuses on maintaining CRM records and automating outreach to ensure co
About this item
Zara monitors customer health and automatically triggers re-engagement workflows when she detects a drop in activity. She manages client intake processes and prepares weekly performance reports to keep the team updated. Her role focuses on maintaining CRM records and automating outreach to ensure consistent customer retention.
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Included Skills
Customer Health Digest
End-of-week summary that aggregates all signals into a single health scorecard per customer. Pulls BigQuery usage data (consent volumes, enrichment usage, growth rate, ramp trajectory) and HubSpot data (contract value, renewal date, last touchpoint). Gives the team a consolidated Friday snapshot without logging into multiple tools. Works best as the companion to the Monday ramp report.
Consent Ramp Tracker
Scheduled (Weekly) Runs a BigQuery query every Monday to pull each customer's consent volume trajectory: weekly totals for the last 8 weeks, week-over-week growth rate, cumulative consents since go-live, and enrichment adoption rate. Posts a formatted ramp report to #customer-success showing each customer's growth curve, colour-coded by trajectory (ramping up, steady, declining). This is the team's primary visibility tool for how customers are growing post-launch.
Contraction Alert & Re-engagement
The most critical workflow in this employee. Runs alongside the ramp tracker but applies stricter logic to detect material contraction: if a customer's consent volume has declined by more than 20% over a rolling 4-week period compared to their prior 4-week average, the agent triggers two actions: (1) posts an urgent alert to #customer-success tagging the account owner, and (2) automatically enrols the customer's primary contact into a HubSpot re-engagement sequence designed to drive a check-in conversation. This ensures no contracting customer goes unnoticed.
Dormant Account Detector
Catches a different failure mode than contraction: customers who never properly ramped or who have gone completely quiet. Two detection patterns: (1) Stale onboard — first API consent was 30+ days ago but total consents remain under a threshold (e.g., <50), suggesting they integrated but never scaled. (2) Gone dark — no new consents in the last 21+ days despite having had prior activity. Both patterns trigger a Slack alert and optional HubSpot sequence enrolment for a "we noticed you've been quiet" outreach. Google BigQuery HubSpot CRM + Sequences Slack
