Forward-deployed enterprise agent engineering and voice-agent deployment
Build custom AI agents for enterprise customers by understanding a specific operational use case, making architecture trade-offs, and deploying a system with controlled voice, language-model, tool-calling, reliability, and evaluation layers.
From Latent Space — ⏭️ Forward Deployed: Voice AI on what works in 2026 at 00:32
Problem: Enterprises need customer-facing agents that can handle real conversations, call internal tools, respect business rules, avoid hallucinations, and remain available when individual models or APIs are slow or unavailable.
For: Retailers, insurance companies, customer-support organizations, call centers, and other enterprises with high-volume phone workflows.
Examples
- Exoflop Labs: a consulting business that built agents for retailers and insurance companies.