Handling the routine volume end to end, escalating the rest with full context attached, and writing everything back to the systems you already run.
The requests that follow a known procedure — order status, account changes, routine troubleshooting, appointment scheduling — including the steps that require touching another system.
The distinction that matters is not question difficulty but whether the resolution path is well defined. An agent with controlled access to your order system can resolve a delivery question completely. Without that access it can only describe how someone else would resolve it, which is deflection wearing a helpful voice.
A chatbot answers. An agent takes action in your systems, and knows when to stop and hand over.
The engineering that matters is the boundary: what the agent is allowed to do, what requires confirmation, and what must go to a person immediately. We define those limits explicitly rather than hoping a prompt holds.
Escalation carries the full context, so the person picking it up is not starting the conversation over.
Your existing helpdesk, CRM, and the operational systems that hold the answer — through the same integration work described under business automation.
Nothing here requires replacing your support stack. The agent sits alongside it and works through the same interfaces your team does.
Thirty minutes on a call is usually enough to tell whether this is the right shape for it.