How does the shared inbox help with IoT escalations?

IoT platforms face a unique support volume: devices report issues 24/7, users hit setup snags, and each ticket can involve hardware logs, firmware versions, and network diagnostics scattered across tools. Without a unified view, simple questions become multi‑threaded email chains. Support teams quickly become the bottleneck, forced to piece together context from disconnected systems while users wait.

When a conversation requires a human, the shared inbox gives your team the entire chat history the AI agent already had - including any custom actions and collected data. The human picks up exactly where the agent left off, inside the same widget, with no need to ask the customer to repeat themselves. This tight handoff makes every escalation feel instant and informed, cutting mean time to resolution for tricky IoT cases.

AI agents grounded in your knowledge base resolve routine IoT questions - reset instructions, common error codes, initial pairing steps - without touching the queue. The shared inbox is the internal layer where a support agent watches live chats, ready to take over. Once the agent determines a case is too complex or sensitive, they claim it in the shared inbox and continue the conversation with full authority, never breaking the customer’s flow.

Before a human takes over, custom actions can gather everything needed: pull device telemetry, fetch account details, or capture a diagnostic log directly in the chat. By the time the case reaches the shared inbox, it is already augmented with hard data from your own systems. That means the support agent sees a complete picture - conversation history plus device state - and can resolve the issue without toggling between ten tabs.

Seamless human handoff

The shared inbox streams every ongoing chat to a real-time feed. Support agents click into any conversation and take over instantly. The customer sees no change - same chat, same history - while the agent quietly shifts from AI resolution to human-led troubleshooting. No transfer popups, no lost context.

Manage escalations efficiently

Agents can triage from the shared inbox: assign priority, tag by issue type, and see which chats already had custom actions run. Because the inbox surfaces conversations where the AI hit a limit or the customer requested a human, your team focuses only on cases that genuinely need their attention, not on sorting through noise.

Resolve complex issues

When an IoT device throws an unexpected fault, the conversation already holds the steps the AI tried, the custom data it collected, and any customer replies. The human jumps into this pre-built thread, tackles the edge case, and closes it without starting from scratch. The result is faster resolution of multi-step, device-specific problems that would otherwise stall in a queue.