Accordia Blog

Voice AI, in practice

Field notes on AI voice agents, contact centre automation and multilingual customer operations across Southeast Asia.

All AI Voice Agents Industry Lessons learned Technical Voice AI Compliance Voice AI Localisation Voice AI Strategy Voice AI Trust & Safety
Voice AI Localisation

Code-Switching Breaks Voice AI: Building Voicebots for Southeast Asia

Callers in Malaysia, Singapore and much of Southeast Asia switch languages mid-sentence — and most voice agents are built to pick one language per call. Here is why that breaks, and how to design a voicebot that mirrors the caller instead.

6 min read
Voice AI Strategy

Resolution Rate, Not Containment: How to Measure Agentic Voice AI

Containment rate tells you how many callers never reached a human — not how many got what they called for. Agentic voice agents that complete real tasks need a resolution-first scorecard, and most teams are still reporting the wrong number.

6 min read
Technical

How we think about giving an AI agent access to your CRM

A voice agent that can only talk isn't that useful on its own. The real value shows up once it can look something up or write something back mid-call, which means giving it scoped, auditable access to your CRM.

2 min read
Lessons learned

What actually breaks when you put an AI agent on the phone

Everyone assumes the model is the hard part of building a voice AI agent. In practice, it's almost always something smaller: barge-in, background noise, code-switching, and silence that times out too early.

2 min read
Industry

Why call centers in Malaysia are moving to AI voice agents

Malaysian call centers juggle four languages in a single queue, and staffing that around the clock is expensive. Here's why AI voice agents caught on here faster than in most other markets, and where they still fall short.

2 min read