Insights
Our Blog
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
Call Center Process Automation: 7 Workflows to Automate Before You Buy Another Tool
Before you rush to buy new tools, automating your existing workflows will deliver a much higher ROI. Here are the 7 workflows to tackle first.
5 Ways Voice AI Is Transforming Dealership Operations Today
How forward-thinking dealerships are using voice automation to solve real operational challenges.
You have a Great Business Idea?
Transform your business ideas into reality with AI voice automation and intelligent call centers.
Digital Transformation with Voice AI
How voice AI is driving digital transformation across industries and improving business outcomes.
What Is Agentic AI? Why It's Rewriting the Rules of Customer Service
How agentic AI transforms customer service with autonomous decision-making and multi-step task orchestration.
Contact Center 2030: What Happens to Human Agents When AI Takes Over?
The 2030 contact center: how AI reshapes roles from frontline agents to escalation specialists and AI trainers.
Voice AI Compliance: 3 Regulatory Risks Every Business Must Address Before Deployment
Voice AI compliance guide covering data privacy, recording consent, and regulatory risks with practical checklist.
How to Measure AI Customer Service Performance: 5 KPIs You Should Be Tracking
Five essential KPIs for AI customer service: FCR, AHT, CPI, CSAT, and deflection rate — with benchmarks.
5 Reasons AI Customer Service Implementations Fail (And How to Prevent Them)
Common pitfalls that derail AI customer service projects — from unclear metrics to poor handoff design — and proven strategies to avoid them.
LLM Hallucinations in Customer Service: How to Minimize Wrong Answers
Why large language models fabricate responses in customer-facing scenarios and the engineering strategies to keep hallucination rates near zero.
Multilingual AI Voice Support: Automating Customer Service Across Languages
How to build voice AI that handles Mandarin, English, and Japanese in a single platform without sacrificing accuracy or cultural nuance.
AI-to-Human Handoff Design: When Should Your Bot Escalate to a Live Agent?
Design principles for seamless AI-to-human escalation — from sentiment triggers to context transfer — that make the handoff invisible to customers.
Automate Every Conversation That Matters.