rAgent is an AI agent layer for customers, partners and teams. It works with your knowledge, communicates across channels and completes workflow steps in your systems — not a chatbot that stops at the answer.
Resolve customer questions from your knowledge base and account context, and escalate with the full conversation when a person is needed.
Contextual search across documents and internal systems for the people who answer questions all day.
Guide enquiries and onboarding journeys, collect what is needed and hand over to the right workflow.
Trigger and complete multi-step processes across systems, with agent actions where they are appropriate.
A client asks in web chat why a withdrawal has not arrived.
rAgent checks the withdrawal status in the account system, finds the matching explanation in the knowledge base, replies with the status and expected timing, and opens a ticket for the payments team if the transaction is stuck.
The client gets an answer with context. If the withdrawal needs a person, the payments team gets a case with the conversation attached — rAgent routes it; it does not fix the payment.
Account status through rPAM or your CRM API; a knowledge base connected to rAgent.
rAgent takes in knowledge sources and account context, and puts out answers, tickets and workflow actions. It needs at least one knowledge source; everything else is optional.
Documents and internal systems, connected through API or import.
Customer context in; tickets and cases out.
Account and lifecycle context for every conversation — native.
The assistant inside your portal and website — native.
The demo is a working assistant on your own knowledge: connect a source, set behaviour and channels, test it in a real conversation.
A working rAgent environment for your company.
Knowledge sources, assistant behaviour and tone, channels, permissions.
Your configuration and connected sources when production is activated.
A business email and company details. Connecting your own systems needs API access.