AI agents handle the majority of customer service inquiries—60-85% depending on complexity. SoftBank achieved 85% auto-resolution with our implementation.

What AI Handles Well

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  • FAQs: Hours, pricing, policies, shipping info
  • Order status: "Where's my order?" with real-time tracking
  • Returns: Process return requests automatically
  • Appointment booking: Schedule calls without human intervention
  • Account updates: Address changes, password resets
  • Basic troubleshooting: Step-by-step guides for common issues

What Still Needs Humans

  • Complex complaints: Nuanced situations requiring judgment
  • High-value customers: VIP clients warrant personal attention
  • Emotional situations: Frustrated or angry customers
  • Novel problems: Issues the AI hasn't seen before
  • Policy exceptions: Decisions requiring authority

The Hybrid Model

The best approach combines AI + human:

  1. AI handles: Routine inquiries, triage, initial response
  2. AI escalates: Complex issues with full context
  3. Human handles: Exceptions, complaints, VIP service

This model reduces human workload by 60-85% while maintaining quality for complex cases.

Real Results: SoftBank

When Greene Solutions implemented AI customer service for SoftBank:

  • 85% of inquiries resolved without human intervention
  • Response time: 23 minutes → 10 seconds (92% reduction)
  • CSAT score: Improved 34%
  • 24/7 availability: No more after-hours gaps

Implementation Timeline

  • Weeks 1-2: Knowledge base creation
  • Weeks 3-4: AI training and testing
  • Weeks 5-6: Pilot with 15% of traffic
  • Weeks 7-8: Full rollout

ROI Breakdown

For a business with 1,000 inquiries/month:

  • Before: 1,000 × $15 avg cost = $15,000/month
  • After AI: 150 inquiries × $15 + AI cost $1,500 = $3,750
  • Savings: $11,250/month = $135,000/year

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