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Customer Support Automation

80% faster processing, 50% error reduction

Customer Support
·
5 min

80%↓

Processing To Minutes

50%↓

Errors Automated

15%↑

CSAT Satisfaction

A case where AI auto-classified and responded to customer inquiries for a finance/telecom enterprise, reducing processing time by 80%.

The Problem

Enterprise customer centers must process tens of thousands of inquiries daily. 100+ staff handle everything from simple FAQs to complex complaints, but response quality and speed are inconsistent.

  • Manual classification/response for customer inquiries (email/messenger/web chat)
  • Average 2-3 hour response time, 20% error rate
  • 100+ staff consumed
  • Inefficiency from repeated responses to same questions

iPaaS Solution

iPaaS platform can build complex workflows no-code. AI classifies inquiries, immediately handles auto-responders, and only passes complex ones to staff. Integration with existing systems (CS platform, ERP, etc.) is key.

  • AI Agent: LLM classifies inquiries (FAQ matching/priority)
  • Workflow: Messenger → auto-response → CS ticket → ERP integration
  • 1,000+ connectors for complete existing system integration
  • Route only exception cases to humans
iPaaSLLMCS PlatformERP Integration

Refund inquiry → eligibility check → auto-approval/email sent without human intervention.

Lessons Learned

  • 1Customer support is a representative success area for AI automation
  • 2Key is structure where 'only exceptions are handled by humans', not full automation
  • 3System integration (connectors) determines success or failure

Want to achieve similar results?

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