Proactive Customer
Success Intelligence
Blueberry AI aggregates fragmented customer signals to surface churn risks instantly using advanced ES|QL and an autonomous agent—without the manual data entry.
ACC-002 • Critical Churn Risk Detected
{"index":"tickets"}
{"query":{"bool":{"must":[{"match":{"account_id":"ACC-002"}},{"match":{"priority":"High"}}]}}}
// ES|QL Aggregation complete. Risk Score: 0.94
Automatically retrieved context, computed mathematical risk via ES|QL, and generated an escalation payload for the CSM team.
Legacy CS platforms are static and fragmented.
The current way Customer Success Managers identify churn is broken.
Scattered Signals
Crucial telemetry is fragmented across Zendesk support tickets, Salesforce CRM notes, and Gong call transcripts, making a unified timeline impossible.
Hidden Indicators
CSMs miss critical churn indicators hiding in unstructured text or deeply nested semantic context until the customer has already decided to leave.
Read-Only Platforms
Current tools are strictly read-only, requiring immense manual intervention to map fragmented data and escalate issues to engineering or leadership.
An Autonomous, Context-Aware Copilot
Blueberry AI isn't just a dashboard; it's an intelligent layer powered by the Elastic Model Context Protocol (MCP) and Google Agent Builder.
Aggregates Signals
Pulls fragmented customer data into one semantic timeline natively stored in Elasticsearch.
Dynamic ES|QL Risk Scoring
Instantaneously computes mathematical churn-risk models by piping ticket volumes and sentiment directly through ES|QL.
Autonomous Escalation
Reads contexts, reasons over risk, drafts Slack payloads, and writes events back into Elasticsearch.
ES|QL Power in Action
| WHERE account_id == "ACC-002"
AND status == "Open"
| STATS count(ticket_id) BY priority
| EVAL risk_weight = case(priority == "High", 3.0, 1.0)
// Native execution slashes latency by 90%
How Blueberry AI Works
Retrieve Context
The Google Agent Builder connects to our custom Elastic MCP bridge, semantically searching support tickets, transcripts, and notes.
Compute Risk
Raw metrics are piped directly through the Elasticsearch query engine using ES|QL to compile an instantaneous mathematical risk score.
Execute Escalation
The agent doesn't just read—it writes. It automatically generates an escalation payload and logs the memory back into Elasticsearch.
Why not Gainsight or ChurnZero?
While traditional platforms rely on static rule engines and are strictly read-only, Blueberry AI flips the paradigm. We utilize the Model Context Protocol (MCP) to provide an autonomous agent with read-and-write capabilities.
We don't just show you a dashboard of problems; our Copilot actively searches historical resolutions via ELSER semantic search, calculates the exact impact, and acts on your behalf to retain revenue.
Stop guessing about churn.
Experience the power of Elastic Serverless, ES|QL, and Google Agent Builder today.
Try the Live Demo