Customer Success

Slack Customer Escalation Radar

Catch customer escalations before they become churn.

Helps success leaders spot urgent customer issues hidden in Slack before they get missed or mishandled.

Best forConsultingProfessional ServicesSaaS

Agents7 required

Duration3-5 minutes

Reviews Slack channel activity for urgent customer signals, groups risk by account or topic, and prepares a prioritized escalation queue.

How it runs

Multi-agent orchestration — here's the flow, step by step.

Call verslay_recall to retrieve prior escalation signal patterns, sentiment thresholds, and customer priority tiers stored in memory. Pull the last 24 hours of messages from all configured customer-facing Slack channels: extract sender, company, channel, message text, timestamp, and any thread context. Produce a raw message corpus as Phase 1 output.

slack channel operations agent

Consume Phase 1 message corpus. Classify each message as: escalation signal (frustration, SLA breach mention, legal/chargeback threat), product issue report, feature request, or neutral. Extract the account name, issue description, and any product area mentioned. Produce a classified escalation event log.

messaging scanner

Consume Phase 1 classified event log. Score sentiment polarity and urgency level for each escalation signal: High (chargeback/legal language or executive-level frustration), Medium (repeated complaints), or Low (first-time product issue). Flag High-urgency signals for immediate human escalation. Produce a sentiment-urgency matrix.

sentiment analyst

In parallel with sentiment-analyst, call verslay_exclusive_reddit_scrape on subreddits related to the product category and the specific product areas flagged in Phase 1. Surface any recent community threads describing the same issues to determine if they are systemic (widespread) vs. account-specific. Call verslay_news_search on flagged customer companies to detect any concurrent external stress (funding issues, layoffs). Produce a systemic-vs-isolated classification brief.

web researcher

Consume Phase 2 sentiment-urgency matrix and Phase 2 systemic-vs-isolated brief. For each escalation signal, determine the response path: Immediate executive escalation (High + systemic), CSM callback within 2 hours (High + isolated), ticket creation (Medium), or monitoring (Low). Produce a prioritized escalation response queue.

ticket classifier

Consume Phase 3 escalation response queue, sentiment matrix, and systemic brief. Write the daily escalation radar report: High-urgency accounts requiring immediate action, issue themes by product area, systemic issues requiring engineering triage, and recommended response protocols per tier. Call verslay_chart_create to generate an escalation volume and severity heatmap by channel and product area. Call verslay_memorize to store updated escalation patterns, sentiment thresholds, and product issue taxonomy in memory.

executive briefing writer

Receive the escalation radar report and response queue from Phase 4. Post a structured escalation alert to the CS leadership Slack channel with High-urgency cases highlighted. Create Zendesk tickets for Medium-tier escalations. Send the full radar report to the VP of CS via email. Confirm all deliveries and ticket creation.

distributor

Required Agents

slack-channel-operations-agent
messaging-scanner
sentiment-analyst
web-researcher
ticket-classifier
executive-briefing-writer
distributor

Connections

Required

slackverslay_exclusive

What it does

Escalation risk detection
Unanswered request flags
Account-level grouping
Owner assignment
Leadership-sensitive highlights

Example prompt

Scan customer-facing Slack channels for escalation risk. Show urgent threads, unanswered asks, affected accounts, and owners.

Ready to deploy Slack Customer Escalation Radar?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Customer Success

Slack Customer Escalation Radar

Catch customer escalations before they become churn.

Helps success leaders spot urgent customer issues hidden in Slack before they get missed or mishandled.

Best forConsultingProfessional ServicesSaaS

Agents7 required

Duration3-5 minutes

Reviews Slack channel activity for urgent customer signals, groups risk by account or topic, and prepares a prioritized escalation queue.

How it runs

Multi-agent orchestration — here's the flow, step by step.

Call verslay_recall to retrieve prior escalation signal patterns, sentiment thresholds, and customer priority tiers stored in memory. Pull the last 24 hours of messages from all configured customer-facing Slack channels: extract sender, company, channel, message text, timestamp, and any thread context. Produce a raw message corpus as Phase 1 output.

slack channel operations agent

Consume Phase 1 message corpus. Classify each message as: escalation signal (frustration, SLA breach mention, legal/chargeback threat), product issue report, feature request, or neutral. Extract the account name, issue description, and any product area mentioned. Produce a classified escalation event log.

messaging scanner

Consume Phase 1 classified event log. Score sentiment polarity and urgency level for each escalation signal: High (chargeback/legal language or executive-level frustration), Medium (repeated complaints), or Low (first-time product issue). Flag High-urgency signals for immediate human escalation. Produce a sentiment-urgency matrix.

sentiment analyst

In parallel with sentiment-analyst, call verslay_exclusive_reddit_scrape on subreddits related to the product category and the specific product areas flagged in Phase 1. Surface any recent community threads describing the same issues to determine if they are systemic (widespread) vs. account-specific. Call verslay_news_search on flagged customer companies to detect any concurrent external stress (funding issues, layoffs). Produce a systemic-vs-isolated classification brief.

web researcher

Consume Phase 2 sentiment-urgency matrix and Phase 2 systemic-vs-isolated brief. For each escalation signal, determine the response path: Immediate executive escalation (High + systemic), CSM callback within 2 hours (High + isolated), ticket creation (Medium), or monitoring (Low). Produce a prioritized escalation response queue.

ticket classifier

Consume Phase 3 escalation response queue, sentiment matrix, and systemic brief. Write the daily escalation radar report: High-urgency accounts requiring immediate action, issue themes by product area, systemic issues requiring engineering triage, and recommended response protocols per tier. Call verslay_chart_create to generate an escalation volume and severity heatmap by channel and product area. Call verslay_memorize to store updated escalation patterns, sentiment thresholds, and product issue taxonomy in memory.

executive briefing writer

Receive the escalation radar report and response queue from Phase 4. Post a structured escalation alert to the CS leadership Slack channel with High-urgency cases highlighted. Create Zendesk tickets for Medium-tier escalations. Send the full radar report to the VP of CS via email. Confirm all deliveries and ticket creation.

distributor

Required Agents

slack-channel-operations-agent
messaging-scanner
sentiment-analyst
web-researcher
ticket-classifier
executive-briefing-writer
distributor

Connections

Required

slackverslay_exclusive

What it does

Escalation risk detection
Unanswered request flags
Account-level grouping
Owner assignment
Leadership-sensitive highlights

Example prompt

Scan customer-facing Slack channels for escalation risk. Show urgent threads, unanswered asks, affected accounts, and owners.

Ready to deploy Slack Customer Escalation Radar?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Customer Success

Slack Customer Escalation Radar

Catch customer escalations before they become churn.

Helps success leaders spot urgent customer issues hidden in Slack before they get missed or mishandled.

Best forConsultingProfessional ServicesSaaS

Agents7 required

Duration3-5 minutes

Reviews Slack channel activity for urgent customer signals, groups risk by account or topic, and prepares a prioritized escalation queue.

How it runs

Multi-agent orchestration — here's the flow, step by step.

Call verslay_recall to retrieve prior escalation signal patterns, sentiment thresholds, and customer priority tiers stored in memory. Pull the last 24 hours of messages from all configured customer-facing Slack channels: extract sender, company, channel, message text, timestamp, and any thread context. Produce a raw message corpus as Phase 1 output.

slack channel operations agent

Consume Phase 1 message corpus. Classify each message as: escalation signal (frustration, SLA breach mention, legal/chargeback threat), product issue report, feature request, or neutral. Extract the account name, issue description, and any product area mentioned. Produce a classified escalation event log.

messaging scanner

Consume Phase 1 classified event log. Score sentiment polarity and urgency level for each escalation signal: High (chargeback/legal language or executive-level frustration), Medium (repeated complaints), or Low (first-time product issue). Flag High-urgency signals for immediate human escalation. Produce a sentiment-urgency matrix.

sentiment analyst

In parallel with sentiment-analyst, call verslay_exclusive_reddit_scrape on subreddits related to the product category and the specific product areas flagged in Phase 1. Surface any recent community threads describing the same issues to determine if they are systemic (widespread) vs. account-specific. Call verslay_news_search on flagged customer companies to detect any concurrent external stress (funding issues, layoffs). Produce a systemic-vs-isolated classification brief.

web researcher

Consume Phase 2 sentiment-urgency matrix and Phase 2 systemic-vs-isolated brief. For each escalation signal, determine the response path: Immediate executive escalation (High + systemic), CSM callback within 2 hours (High + isolated), ticket creation (Medium), or monitoring (Low). Produce a prioritized escalation response queue.

ticket classifier

Consume Phase 3 escalation response queue, sentiment matrix, and systemic brief. Write the daily escalation radar report: High-urgency accounts requiring immediate action, issue themes by product area, systemic issues requiring engineering triage, and recommended response protocols per tier. Call verslay_chart_create to generate an escalation volume and severity heatmap by channel and product area. Call verslay_memorize to store updated escalation patterns, sentiment thresholds, and product issue taxonomy in memory.

executive briefing writer

Receive the escalation radar report and response queue from Phase 4. Post a structured escalation alert to the CS leadership Slack channel with High-urgency cases highlighted. Create Zendesk tickets for Medium-tier escalations. Send the full radar report to the VP of CS via email. Confirm all deliveries and ticket creation.

distributor

Required Agents

slack-channel-operations-agent
messaging-scanner
sentiment-analyst
web-researcher
ticket-classifier
executive-briefing-writer
distributor

Connections

Required

slackverslay_exclusive

What it does

Escalation risk detection
Unanswered request flags
Account-level grouping
Owner assignment
Leadership-sensitive highlights

Example prompt

Scan customer-facing Slack channels for escalation risk. Show urgent threads, unanswered asks, affected accounts, and owners.

Ready to deploy Slack Customer Escalation Radar?

Start free. One click, full agent orchestration.

Get Started Free →