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Hermes Agent Customer Support Automation

Hermes Agent automates multi-channel ticket triage, knowledge base retrieval, SLA monitoring, and escalation routing for customer support teams. Add an intelligence layer on top of your existing ticketing system so agents handle complex issues while automation manages classification, routing, and compliance.

Overview

Customer support teams face a constant challenge: ticket volume grows faster than headcount. The solution isn't just more agents — it's smarter automation that handles the routine so humans focus on the complex. Support operations involve ticket ingestion from multiple channels, classification and prioritization, assignment to the right agent, knowledge base lookup, SLA monitoring, escalation management, and post-resolution analysis. Each step is a candidate for automation. Hermes Agent provides the triage, routing, knowledge retrieval, and monitoring layer that makes support teams dramatically more efficient.

How It Works

Multi-Channel Ticket Triage

Support requests arrive through email, chat, web forms, social media, and phone. Different channels mean different formats, different urgency signals, and different customer expectations.

Unified Ticket Triage

- name: support-ticket-triage
  schedule: "*/5 * * * *"  # Every 5 minutes
  skill: ticket-triage
  description: Classifies and prioritizes new tickets across all channels

The skill monitors: - Email: Gmail/Outlook connectors watch designated support inboxes - CRM: Checks for new cases/tickets in HubSpot, LeadConnector, or Close - Slack: Monitors support channels for flagged messages - Forms: Database connectors watch for new web form submissions

For each new ticket, the skill: 1. Extracts the customer identity and looks up account history (plan tier, renewal date, open issues) 2. Classifies the issue type (billing, technical, account, feature request, bug report) 3. Assesses urgency signals: language indicating frustration, mention of outage or data loss, customer tier 4. Assigns priority (P1-P4) based on configured rules 5. Routes to the appropriate team queue 6. Posts a triage summary to the support Slack channel

Auto-Response with Context

For known issue types with existing solutions, Hermes can respond immediately:

- name: auto-responder
  schedule: "*/5 * * * *"
  skill: support-auto-respond
  description: Responds to tickets matching known resolution patterns

When a ticket matches a high-confidence pattern (e.g., "how do I reset my password" or "invoice not received"), the skill replies with the relevant knowledge base article and resolution steps, then marks the ticket as pending-customer-response rather than consuming agent time.

Knowledge Base Search Agent

The most common support workflow: customer asks a question, agent searches the knowledge base, agent reads the article, agent paraphrases it back to the customer. Hermes can eliminate the middle step.

Knowledge Base Integration

- name: kb-sync-and-index
  schedule: "0 */4 * * *"  # Every 4 hours
  skill: knowledge-base-sync
  description: Syncs knowledge base articles for rapid retrieval

This skill indexes your knowledge base (Notion, Confluence, Google Docs, GitBook) so when a support query arrives, Hermes can retrieve the most relevant article and either: - Suggest it to the agent (agent-in-the-loop mode) - Deliver it directly to the customer for high-confidence matches

The skill also monitors for stale articles — those not updated in 90+ days that reference deprecated features or old screenshots — and flags them for review.

SLA Monitoring and Escalation

SLA breaches cost money and customer trust. Manual SLA monitoring means someone watches a dashboard, which means breaches are discovered after they happen.

Real-Time SLA Monitor

- name: sla-monitor
  schedule: "*/10 * * * *"  # Every 10 minutes
  skill: sla-compliance
  description: Checks all open tickets against SLA targets and escalates at-risk items

The skill: 1. Queries the ticketing system for all open tickets 2. Calculates time-to-first-response, time-to-resolution, and time-in-current-status 3. Applies SLA rules based on customer tier and issue priority 4. At 50% of SLA window: gentle reminder to assigned agent 5. At 75%: notification to team lead 6. At 90%: escalation to manager with full context 7. After breach: creates a post-mortem draft analyzing what delayed resolution

SLA Trend Analysis

- name: sla-weekly-report
  schedule: "0 8 * * 1"  # Monday at 8 AM
  skill: sla-trends
  description: Analyzes SLA performance trends and identifies systemic issues

This skill looks beyond individual breaches to find patterns: which issue types consistently miss SLAs, which time windows have the lowest coverage, which customers experience the most escalations.

Escalation Routing

Complex issues need the right expert, and finding that expert often involves Slack pings and guesswork.

- name: escalation-router
  schedule: "*/5 * * * *"
  skill: escalation-routing
  description: Routes escalated tickets to the appropriate specialist based on skills and workload

The skill maintains a skills matrix (which team members cover which product areas, which have escalation authority for refunds, which speak which languages) and a real-time workload view. When a ticket is escalated, it matches against both criteria to find the best available specialist.

Customer Health Monitoring

Support interactions signal customer health. A spike in tickets from a previously quiet account often precedes churn.

- name: customer-health-monitor
  schedule: "0 7 * * *"  # Daily at 7 AM
  skill: support-health-check
  description: Identifies accounts with concerning support patterns

The skill flags: - Accounts with 3+ tickets in 7 days (unusual activity) - Accounts with unresolved P1/P2 tickets older than 48 hours - Accounts with repeated issues of the same type (indicating root cause not addressed) - High-value accounts with any open ticket - New customers with tickets in their first 30 days (onboarding friction)

These flags route to customer success managers, not just support, enabling proactive outreach before the customer escalates.

Multi-Channel Response Coordination

A customer might email, then DM on social media, then call — creating duplicate work and inconsistent responses.

- name: cross-channel-dedup
  schedule: "*/5 * * * *"
  skill: channel-deduplication
  description: Identifies duplicate issues across channels and links them

The skill searches recent tickets for matching customer identity and similar issue descriptions, then links duplicates with a master ticket. This prevents three agents from working the same issue independently.

Benefits

  • Faster first response — tickets classified, prioritized, and routed within 5 minutes
  • Fewer SLA breaches — proactive escalation at 50%, 75%, and 90% of SLA windows
  • Reduced agent toil — knowledge base lookups automated, routine tickets auto-responded
  • Better customer health visibility — concerning support patterns flagged to CSMs daily
  • Consistent cross-channel experience — duplicate issues linked, not worked independently
  • Scalable without linear headcount — classification and routing handled by automation

Getting Started in Support

  1. Start with triage, not auto-response. Classification and routing provide immediate value without risking incorrect automated replies.
  2. Build your SLA rules carefully. Start with generous thresholds, monitor false-positives for two weeks, then tighten.
  3. Integrate with your existing ticketing system. Hermes doesn't replace your ticketing — it layers intelligence on top.
  4. Use email and Slack connectors as your primary channel monitors. These cover 90% of support intake for most teams.
  5. Keep humans in the loop for responses. Automate classification, routing, and monitoring. Keep humans for customer-facing communication until your knowledge base coverage and accuracy are proven.

The outcome: faster first responses, fewer SLA breaches, less time spent on routine classification and routing, and a support team that scales without linear headcount growth.

FAQ

What ticketing systems does Hermes connect to?

Hermes connects to HubSpot Service Hub, LeadConnector, and any ticketing system with SQL database access or API. It layers intelligence on top of your existing tools — it doesn't replace your ticketing platform.

Can Hermes automatically respond to support tickets?

For high-confidence pattern matches (password resets, invoice requests, known issues), Hermes can auto-respond with knowledge base articles and resolution steps. All auto-responses should be monitored, and unknown or low-confidence issues should route to human agents.

How does Hermes handle SLA monitoring?

Hermes checks open tickets every 10 minutes, calculates time-to-resolution against SLA targets, and escalates at 50%, 75%, and 90% thresholds. It also provides weekly trend analysis identifying systemic SLA issues.

Can Hermes detect duplicate support tickets?

Yes. Hermes searches recent tickets for matching customer identity and similar issue descriptions, then links duplicates with a master ticket to prevent independent work on the same issue.

Does Hermes replace my support team?

No. Hermes automates classification, routing, knowledge retrieval, and monitoring — the mechanical work. Your agents remain essential for complex troubleshooting, empathetic communication, and escalations that require human judgment.