Automate Conversations in Context
While Trust Studio defines the conversational rules (Build), Trust Engine carries them out in production (Run).
Leveraging rich APIs and connectors, Trust Engine gathers the required contextual data and compiles the required instruction for the appropriate next response or action.
Runtime Intelligence
Context-Aware Execution
Trust Engine integrates with multiple data sources to ensure every response is accurate, compliant, and contextually relevant.
Multi-Source Data Integration
Gathers customer data from a CRM, intent and sentiment data from an LLM, and/or response data from the customer
Real-Time Processing
Compiles instructions and executes responses instantly across all channels
Rule-Based Execution
Gathers customer data from a CRM, intent Applies Trust Studio rules to ensure every action stays within defined guardrails
Unified LLM Management
Enterprise-Grade AI Governance
Trust Engine brings unified LLM management, built-in safety, and enterprise governance to unlock AI value while mitigating risks.
This allows you to select your LLM to optimize cost and performance and maintain service continuity.
LLM Flexibility
Select your LLM to optimize cost and performance for different use cases
Service Continuity
Maintain uninterrupted service with automatic failover and load balancing across providers
Built-In Safety
Enterprise governance ensures AI outputs always comply with policies and regulations
Ready to Power Your Conversational AI?
See how Trust Engine executes intelligent conversations at scale with enterprise-grade reliability