Powered by Agentic RAG architecture which can not only retrieve accurate, relevant data, but also perform intelligent reasoning and action, Cirav’s AI Agents can think, act, and respond autonomously, transforming conversational experiences.
reduction in operational costs
faster go to market
improvement in CSAT scores
containment out-of-the-box
Acting as a central decision hub,AI super agent automatically orchestrates multiple requests, assigns tasks to each Chat agent.
Our AI agents leverage conversational context to understand user queries accurately, retrieve the right information accordingly, without the user needing to repeat themselves.
Cirav’s AI agents can trigger
multi-step business workflows
—like creating a support ticket, initiating and fetch data for the query in your
database, or routing approvals, with simple configurations.
During a conversation, these AI agents take intelligent decisions
on the fly, by seamlessly integrating with other tools and
knowledge bases to pull necessary information, and decide specific
actions according to the user’s requirement.
With multimodal support, our AI agents encourage natural communication with users. They can understand user intent better, provide accurate responses, manage shifts in conversation by switching context without losing sight of the original goal of the conversation.
Get complete visibility into the AI agent’s reasoning and improve conversational flows. Trace each decision and API call, to debug, optimize, and iterate in real time.
