Understand the request before the queue forms.
Detect delivery issues, product questions, policy requests, and account problems early so the right path starts immediately.
Example"I need help with a delayed order."
Support that feels instant, accurate, and human.
Conveau support agents absorb repetitive customer demand, answer with policy-aware precision, and escalate edge cases without losing history.
Built for teams that need lower queue pressure, faster first response, and cleaner handoff quality across chat, email, and operational requests.
Experience comparison
Four ways the support agent keeps demand moving
Pull the right policy and customer context into one decision.
Responses stay grounded in order status, business rules, and prior conversation history instead of generic chatbot answers.
Example"Your shipment is in transit and expected tomorrow before 18:00."
Move the issue forward instead of stopping at an answer.
Tracking links, refund routing, ticket creation, and branch coordination can be triggered as part of the same support flow.
Example"I can resend the tracking link and update delivery instructions now."
Hand off only the conversations that truly need a human.
Escalation includes collected context, summary, and action history so the operator starts ahead instead of from zero.
Example"This case needs an operator review. I have attached the order timeline and customer notes."
Why it works
Designed to improve the support experience on both sides
Instant support
Customers get real-time help instead of waiting for a follow-up email or callback.
Higher resolution
Frequent questions and repeat requests can be solved during the first interaction.
Brand-safe tone
Responses stay clear, empathetic, and aligned with the service standard your team wants to deliver.
Lower agent load
Human teams spend more time on exceptional cases and less time on repetitive traffic.
Support agent
Make support feel faster, smarter, and more human.
See how Conveau can take pressure off the queue while keeping operators in control of the edge cases that matter.