Parlant

Parlant is a conversational AI platform designed to build and maintain reliable customer-facing agents with a structured control layer. It enables developers to define behavioral rules, guidelines, and canned responses that keep agents consistent and compliant as complexity scales.

Parlant is primarily used by enterprise AI developers, compliance officers, customer service managers, and teams in finance, healthcare, legal, and other regulated industries who require precise control over agent behavior and adherence to business rules.

Parlant applies constraints and control points directly to how LLMs are used, rather than relying on post-hoc guardrails. It merges multiple behavioral rules intelligently in-context and traces every decision, making it easier to detect and correct deviations from intended behavior.

Parlant is designed to fit into existing development workflows, allowing teams to incorporate product feedback rapidly without manual rewiring of graphs or fine-tuning models. It supports iterative development and can be integrated into broader AI and customer service systems.

Parlant emphasizes maximum control over conversation experience, prevention of unwanted behaviors through structural constraints, and a fast feedback loop for iterative refinement. It avoids rigid flows or state machines by teaching agents principles and provides explainable troubleshooting with extensive feedback on decisions.

Parlant allows teams to define high-criticality guidelines that trigger specific actions, such as risk disclosures, based on conversational context. It caps failure severity for high-stakes moments using canned response templates and ensures only relevant context is loaded per turn to maintain focus and consistency.