Customer Support Automation
80% faster processing, 50% error reduction
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
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
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