Parloa, a Berlin-based company, developed an AI Agent Management Platform (AMP) built on models including GPT-5.4 that lets business teams define agent behavior in natural language, connect to internal systems, and iterate using built-in simulations and evaluations before deployment.
The platform uses a modular approach where tasks like authentication or booking changes run as distinct sub-agents, balanced with deterministic controls for critical steps. Parloa tests interactions by simulating customer conversations with one model acting as caller and another running the configured agent, then evaluates using LLM-as-a-judge scoring and deterministic checks.
Voice interactions require optimization for latency across speech-to-text, model reasoning, and text-to-speech; Parloa evaluates each component independently and works with OpenAI on real-time performance. In one deployment, a global travel company reduced requests for human agent assistance by 80%.
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