Jev on the Phone
How Osvi uses TypeSafe's Jev model to classify which AOP a customer message triggers: three times faster than DeepSeek, with false alarms cut from 24 to 5.
Chandan5 min read
Ideas for teams building outcome-led agents.
Clear thinking on agent systems, customer operations, voice infrastructure, and the work around reliable automation.
Latest articles
Voice bots vs Long-Horizon Agents: When One Call Isn't the Outcome
Voice bots handles one interaction. Osvi Journey carries the work across days, channels, and business systems until completion.
Osvi Team5 min read
Why Your Voice AI Feels Slow: The Complete Guide to Latency Optimization
Every millisecond matters in voice AI. Here's how latency affects user experience and what you can do to optimize the entire conversation pipeline.
Osvi AI10 min read
Inbound vs Outbound Voice AI: Where Complexity Meets Opportunity
Why understanding intent and context determines which voice AI use cases succeed - and which ones waste your budget.
Osvi Team8 min read
Beyond the Monolithic Prompt: Why We Built Agent Flows for Voice AI
How Agent Flows solve the fundamental limitations of single-prompt voice agents through graph-based conversation design.
Osvi AI5 min read