Support agents that resolve tickets, not just route them.
Klivo support agents answer the questions your customers actually ask, take the actions your policies allow, and escalate cleanly when a human is needed.
Most support deployments fail not because AI can't answer, but because AI can't act, can't escalate, and can't be trusted.
Volume that scales faster than headcount
Support queues grow with every product launch and every region. Hiring lags demand by 3-6 months, and L1 attrition is structurally high.
Repetitive tickets eat the team
A majority of inbound tickets are resolvable from documentation or account lookups. Skilled agents burn out handling the same ten questions on repeat.
Compliance makes automation risky
Regulated industries can't deploy generic bots that hallucinate policy. You need grounded answers, auditable decisions, and proper escalation.
A grounded, governed support agent that plugs into your stack and acts under policy.
Grounded in your knowledge
The agent answers only from your approved KB, SOPs, and ticket history, with citations on every response.
Takes real actions
Resets passwords, updates addresses, issues refunds within policy limits, triggers callbacks, through your helpdesk and CRM.
Clean human handoff
On escalation, the human agent receives full transcript, intent, attempted actions, and recommended next steps.
Quality measured in real time
CSAT, deflection, containment, and resolution-without-handoff tracked per agent, per topic, per channel.
A typical refund dispute resolved end-to-end by an agent.
- 01
Customer asks
Chat opens with "where is my refund for order #84211?"
- 02
Agent retrieves
Pulls order, payment, and refund status from Shopify + Stripe.
- 03
Policy check
Validates eligibility against refund policy and regional rules.
- 04
Action taken
Issues refund, logs ticket, emails confirmation with tracking.
- 05
Outcome logged
Ticket closed in Zendesk with full trace stored for audit.
Typical targets for this use case.
Refund inquiry
How this pattern can look in practice.
What enterprise buyers ask about this use case.
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