Taking decision-making away from black-box LLMs
Relying on black-box LLMs for decision-making leaves enterprises with limited visibility into the facts, rules, and reasoning behind each outcome and means identical customer situations can produce different decisions.
AGIGO’s unique proprietary architecture solves this by separating customer communication from decision-making.
LLMs are used where they excel: navigating the open-ended, complex, creative, and unpredictable nature of human conversation. A deterministic engine, meanwhile, steers the conversation and makes decisions grounded in facts, rules, and logic.
The result is natural, intelligent customer interactions with consistent and fully traceable decisions.
AGIGO Platform Runtime Architecture
What makes AGIGO's architecture fundamentally different?
What this Architecture enables
Enterprise AI Governance
Assured execution
Consistent decisions based on business rules and real enterprise data
Fully traceable
Every decision can be traced back to the data, rules and logic behind it
Testable before deployment
Decision logic and scenarios can be systematically validated before production
Positive Customer Journeys
No hallucinated facts
The agent never invents a fact, it relays what the Engine found in real data
Goal achievement
The conversation doesn't drift, the Engine tracks state and steers towards completion
Natural interactions
The agent speaks naturally, creating fluid, human-like conversations
Ready to take the lead in your industry?
AGIGO is seeking Voice AI builders and integrators ready to outperform the market with outstanding solutions, built on the Voice AI technology of the future.
Flora
AI Agent
How can I help you today?