Human handoff with full context
When confidence drops or stakes rise, escalate with structured summaries, suggested replies, and live order sidecars so agents start mid-thread—not from zero.
Perfect automation is rare; great handoffs are mandatory. Zee handoff agents package: customer intent timeline, tools invoked, order IDs checked, language detected, and draft replies marked low-confidence. Humans edit or send with full visibility, and the customer never repeats their order number three times.
What this agent pattern delivers
- Confidence thresholds per workspace—different bars for refunds vs. sizing questions.
- Internal notes and @mentions pre-populated with machine-readable context for specialists.
- Coaching mode: compare what AI suggested vs. what humans sent for weekly QA.
- Seamless return to automation when the human resolves the edge case and clears the flag.
Humans stay in the loop by design
Zee is built for teams that ship volume and still care about nuance. Handoff is a first-class state—not a failure mode.
More Zee agent patterns
- Intent routing & triageStop treating every inbound message as equal when carts, tiers, and risk profiles differ.Explore use case
- Order-aware agent repliesEliminate “let me check with the warehouse” loops when webhooks already know the answer.Explore use case
- Sales copilot in chatTurn conversations into revenue without pushing shoppers to a dead-end bot script.Explore use case
- Social → private chat handoffPublic comments are discovery; private threads are where orders happen—bridge them deliberately.Explore use case
- Policy-safe refunds & returnsAutomate the boring parts of returns without bypassing approvals where risk lives.Explore use case