AI voice agents in Mexico: from demo to 24/7 production
How to design and deploy a conversational agent that truly handles calls in production, in Mexican Spanish, integrated with your CRM.
The demo is the easy part. Taking an AI voice agent to live 24/7 production —with CRM integrations, human fallback, QA metrics and observability— requires another discipline.
The stack we recommend
At Sisvox we have tested dozens of combinations. The one that gives the best balance of cost, latency and naturalness in Mexican Spanish combines:
- A unified real-time engine (STT + LLM + TTS in one WebSocket session). Several serious proprietary options exist today; the choice depends on the use case. What matters: latency below 500 ms.
- n8n to orchestrate webhooks and CRM.
- Asterisk / Issabel as telephony layer when the client requires their own DID. For enterprise proprietary suites we refer customers to Sisvox directly.
The most common mistake
Launching without metrics. You need to measure AHT, no-transfer resolution rate, post-call NPS and CSAT before and after the agent. Without those numbers, you don't know if you're improving.
Privacy and compliance
Encrypted recording at rest, explicit consent at the start of the call and configurable deletion. In Mexico, also evaluate the LFPDPPP.
If you want a 30-minute diagnostic session, write me at hola@luisrodolfo.com.