Product · Foundation

Built on agent-to-agent
architecture.

ZUUZ uses a multi-agent architecture where specialized AI agents handle specific revenue tasks — reading, scoring, drafting, flagging, and syncing — coordinated by a central decision layer.

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Architecture

Specialized agents. Coordinated intelligence.

Rather than one general AI trying to do everything, ZUUZ uses specialized agents for specific tasks — a reading agent, a scoring agent, a drafting agent, a risk detection agent, and a CRM sync agent — all coordinated by a central orchestration layer.

This architecture means each agent is optimized for its specific task, results are more accurate, and the system scales across multiple channels and CRM platforms simultaneously.

Agent-to-agent architecture with multi-system integration
FAQ

Frequently asked questions.

What is agent-to-agent architecture?
ZUUZ uses specialized AI agents for specific tasks — a reading agent, a scoring agent, a drafting agent, a risk detection agent, and a CRM sync agent — coordinated by a central orchestration layer. Each agent is optimized for its specific function.
Why is agent-to-agent architecture better than a single AI model?
Specialized agents are more accurate for their specific tasks than a general-purpose model trying to do everything. The architecture also scales across multiple channels and CRM platforms simultaneously.
Is ZUUZ built on a public LLM?
ZUUZ uses foundation models as components within its agent architecture, combined with proprietary signal processing, context assembly, and CRM integration layers. Customer data is never used for public model training.

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