Chatling

Chatling suits teams answering recurring questions from a maintained help center. Its documented workflow combines knowledge sources with channel deployment and human handoff. Begin with a small set of approved articles and questions that should be escalated. A response counts as useful only when it follows the current policy and gives customers a workable route to a person when needed.

A practical workflow

1. Import a small approved knowledge collection.
2. Define the agent's scope and escalation rules.
3. Test known questions and deliberately missing information.
4. Review responses before enabling a customer-facing channel.

Illustrative input

This example describes a task, not a tested output. Adjust the source material and settings to your own situation.

Answer this policy question using only the approved help article. If the article is insufficient, say what is missing and offer a human handoff.

Result check: Check policy accuracy, source freshness and whether escalation works for an unresolved case.

Access and alternatives

A Free plan includes one agent, a seat, limited knowledge capacity and model-metered AI credits. Paid plans expand capacity, actions, workflows and source-sync frequency. Confirm whether the current account's credit allocation renews and which channel costs are separate; renewal was not explicit enough to confirm during review, so pricing is marked unconfirmed.

Choose another workflow when its emphasis fits better: DocsBot AI for another source-based support assistant; Chatbase for a different knowledge-chatbot workflow.