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Agent AssistDocumentation

Real-time AI assistance for contact center agents

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Platform Capabilities

Agent Assist brings AI-powered knowledge retrieval directly into the agent workflow, reducing handle time and improving first-contact resolution across every conversation.

psychology Real-time RAG

As customers speak or type, Agent Assist classifies the conversation topic, searches your knowledge bases using vector similarity, and generates a grounded answer with source citations -- all within seconds of each new message.

search Knowledge Retrieval

Upload documents, connect external sources, and organize content into knowledge bases. The RAG pipeline retrieves the most relevant chunks and synthesizes them into clear, actionable suggestions that agents can use immediately.

rate_review Source Feedback

Agents can thumbs-up or thumbs-down every suggestion and leave optional comments. This feedback flows into analytics dashboards so administrators can identify weak content areas and prioritize knowledge base improvements.

history Conversation History

Review past conversations with full context -- customer messages, agent responses, AI suggestions, and feedback signals. Use conversation history to audit quality, train new agents, and identify recurring support topics.

monitor_heart Service Health

Monitor the status of every service in the Agent Assist pipeline: the connector service, RAG service, classifier, and CCaaS integrations. Get alerted when latency spikes or error rates exceed thresholds.

devices Multi-Platform

Agent Assist works across CCaaS platforms through a unified Socket.IO interface. Whether your agents use Genesys Cloud, Amazon Connect, Google CCAI, or 8x8, the experience is consistent and the setup is straightforward.


Agent Assist -- AI-powered real-time assistance for contact center agents. Built for teams that need accurate, fast, and auditable knowledge delivery at scale.

OmniBots Agent Assist