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Automated Customer Complaint Handling System

Customer Service / Consumer Affairs / E-commerce / Telecom / Utilities

Problem Description

Customer complaints are often buried in emails, forms, or support tickets and handled inconsistently—leading to poor resolution times and dissatisfaction. Manually triaging and resolving complaints is slow and prone to errors. This template enables automated intake, classification, prioritization, resolution, and escalation of customer complaints using coordinated AI agents within the Syncloop platform, ensuring fast, fair, and traceable handling.

Working of Template

Multiple AI agents work together to process complaints from different channels, analyze their nature and severity, classifythem, and trigger either automated or assisted resolution flows. Each agent is assigned a role—ingestion, sentiment analysis, category detection, SLA assignment, response generation, and escalation handling. Agents interact via Syncloop APIs, enabling streamlined complaint resolution pipelines.

Agents Required

Agent Name: ComplaintIntakeAgent
Role & Capabilities: Captures complaints from email, forms, chat, or API. Extracts metadata like contact info, channel, and timestamps.
Agent Name: SentimentGraderAgent
Role & Capabilities: Analyzesemotional tone (anger, frustration, neutral, positive) to prioritize urgency.
Agent Name: ComplaintClassifierAgent
Role & Capabilities: Categorizes the complaint (e.g., billing, service outage, product damage).
Agent Name: SLAAssignerAgent
Role & Capabilities: Assigns resolution timelines and workflows based on severity, complaint type, and customer tier.
Agent Name: ResponseGeneratorAgent
Role & Capabilities: Creates templated or personalized responses for acknowledgment, follow-up, or resolution.
Agent Name: EscalationManagerAgent
Role & Capabilities: Routes unresolved or high-risk cases to supervisors or compliance departments.

Syncloop API Usage

Endpoint Method Input Parameters Output Format
/complaint/intake POST channel, message_text, contact_info, timestamp complaint_id, source, cleaned_text
/sentiment/analyze POST complaint_id, cleaned_text, channel sentiment_score, emotion_tag, urgency_flag
/complaint/classify POST complaint_id, cleaned_text, sentiment_score category, subcategory, classification_confidence
/sla/assign POST complaint_id, category, urgency_flag, customer_tier sla_hours, priority_level, assigned_team
/response/generate POST complaint_id, message_body, tone,
/escalation/manage POST complaint_id, resolution_status, sla_breach_flag, tier escalation_path, assigned_supervisor, alert_triggered

Flow Summary

  1. The Complaint In take Agent captures incoming complaints using /complaint/intake.
  2. The Sentiment Grader Agent analyzes emotional tone and urgency using /sentiment/analyze.
  3. Complaint Classifier Agent categorizes the issue type through /complaint/classify.
  4. Based on context, SLA Assigner Agent applies resolution timeframes and routing logic via /sla/assign.
  5. Acknowledgment or resolution messages are drafted by Response Generator Agent using /response/generate.
  6. If complaints breach SLAs or are marked urgent, EscalationManager Agent handles routing through /escalation/manage.

Optional Enhancements

  • Integrate Voice Transcription Agent for audio complaints from IVR or calls.
  • Add Multilingual Support Agent to translate and localize responses
  • Connect CRM Update Agent to track complaint history and customer lifecycle.
  • Use Pattern Detector Agent to flag systemic issues from repeated complaint themes.

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