Triaging Customer Complaints

AI models can use regulatory requirements and internal policies to help compliance teams classify and route incoming customer complaints. This triage-based approach reduces turnaround time for complaint resolution, improves compliance consistency, and helps ensure that complaints with legal or regulatory implications are escalated quickly.

The AI assistant can flag potential compliance issues, recommend next steps, and support more complete documentation for review.

Documents to Consider
  • Regulatory guidance
  • Customer complaint transcripts
  • Prior case outcomes
  • Internal policies and procedures

Scenarios

Multipart Complaint Routing: A customer complaint references several issues at once: a delayed shipment, a billing dispute, and unprofessional conduct from a support representative. AI can use the company’s operating procedures together with the complaint transcript to identify each issue and recommend routing to fulfillment, billing operations, and customer experience management respectively.

Benefit: more accurate routing of complaints, faster resolution, and reduced operational friction.

Safety and Product Quality Escalation: A customer reports that a product arrived damaged and may have caused a minor injury during use. The AI model identifies language related to product safety and quality risk, then flags the case for escalation to the product safety and quality assurance teams for immediate review.

Benefit: faster response to higher-risk complaints and reduced liability exposure.

Contract and Service-Level Dispute: A business client complains that promised service levels were not met and that invoicing does not match contract terms. The AI model detects possible service-level agreement and contract compliance issues, then routes the matter to account management, finance, and legal or contract operations for coordinated handling.

Benefit: earlier intervention, more consistent contract administration, and fewer escalations with key clients.

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