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How voice AI actually gets deployed: industry playbooks, platform comparisons, and what we learned shipping it.
In the press
Jun 24, 2026
Average Age Under 25, Yet Landing US Dealership Contracts — How Pathors Uses AI to Take Over Enterprise Phone Support
May 14, 2026
One Phone Call Costs a Bowl of Beef Noodles? Inside Interview with Pathors Co-founder on Building Voice AI Infrastructure for Asia
Mar 28, 2026
500 Calls in 3 Hours: Pathors AI Voice Agent Sets New Enterprise Outbound Benchmark
How Telecom Providers Use AI Outbound to Reduce Billing Disputes & Drive Renewals
Telecom companies handle 15-25% of inbound calls related to billing disputes. Discover how AI outbound calling proactively resolves billing confusion, drives contract renewals, and reduces churn by 12-18%.
How Logistics & Delivery Companies Use AI Voice to Reduce Failed Deliveries
Failed first-attempt deliveries cost the logistics industry $1.6B annually in APAC alone. Learn how AI voice notifications reduce failed delivery rates by 25-35% while streamlining last-mile communication.
How to Write an AI Customer Service RFP: Complete Template for APAC Enterprises (2026)
A step-by-step RFP template for procuring AI customer service platforms in the Asia-Pacific region, with evaluation scoring frameworks, SLA benchmarks, and common pitfalls drawn from 40+ enterprise procurement cycles.
Best Five9 Alternatives for AI-Powered Contact Centers in Asia-Pacific (2026)
A data-driven comparison of Five9 alternatives for APAC contact centers, covering AI capabilities, CJK language support, pricing models, and deployment timelines for enterprises seeking AI-native customer service platforms.
How Aesthetic Clinics Use AI Voice to Boost Booking Conversions & Post-Treatment Follow-ups
Aesthetic clinics face unique challenges: high no-show rates, off-hours inquiries, and inconsistent post-treatment follow-ups. Here's how AI voice assistants are solving these problems and driving measurable results.
Why AI Customer Service Projects Fail: 7 Common Mistakes Taiwan Enterprises Make
Most AI customer service implementations don't fail because the technology is bad. They fail because the rollout strategy is flawed. Here are the seven patterns we see repeatedly — and the playbook for avoiding each one.
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