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Apolla AI
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Intelligent customer service

Answers customer questions from the product and service knowledge base, looks up orders, completes transactions and hands off to agents, measured on resolution rate rather than response rate.

Sample input and output

Sample input

The order I placed last week has not shipped yet. Can you change it to my office address?

Sample output

Order 2026081312 found; current status is awaiting shipment. The delivery address has been changed to your office address (Pudong New Area, Shanghai…) and a text confirmation sent. Expected to ship by September 15.

Details

Many customer service bots reply fast without solving the customer’s problem. This template makes resolution rate the core metric: it answers what it can from the knowledge base with sources, completes transactions through APIs (order lookup, address changes, invoicing), and hands off what it cannot resolve to a human agent with full context.

Every conversation is traceable: intent recognition, knowledge retrieval and tool calls are logged for each turn, making it easy to find where an inaccurate answer came from. Frequently unresolved questions are collected automatically and fed back to the knowledge base team.

  • Knowledge Q&A, transactions and human handoff in one Agent
  • Answers cite their knowledge source and are auditable
  • End-to-end conversation tracing
  • Unresolved questions collected automatically

How close is this template to your use case?

Most customers go live after changing 20–40% of a template. Book a workshop and we will assess it together.