# How is Philippine Airlines using a voice AI agent in its contact center?

> Philippine Airlines deployed a Sierra voice agent in a contact center handling close to two million inbound calls a year. Sierra reports booking retrieval success lifted from 30% to 75% and mis-routed loyalty calls cut from 15.5% to 7.2% after post-launch tuning.

- **Evidence grade:** B — Named organization with a quantified outcome, from the vendor or the organization's own announcement.
- **Organization:** Philippine Airlines (airline)
- **Industry:** Transportation & Logistics — Airline
- **Roles:** Customer Support
- **Tools:** Sierra AI agent (Sierra)
- **Status:** production · **Agent pattern:** voice-agent · **Autonomy:** 3/4
- **Last verified:** 2026-10-17

## Reported outcomes
- booking retrieval success: from 30% to 75% [1] (self-reported)
- mis-routed loyalty calls: from 15.5% to 7.2% [1] (self-reported)
- FAQ accuracy (pre-launch testing): 98%+ across more than 900 scenarios [1] (self-reported)

## How it works
1. Voice agent handles booking retrieval, FAQs, and loyalty transfers.
2. Post-launch data analysis used to simplify verification and question flows.

## Risks & compliance
- Wrong or hallucinated answers to customers; needs guardrails and handoff
- Vendor-published results; not independently audited

## Sources
1. Sierra, "Philippine Airlines and Sierra" (undated; accessed 2026-10-17) <https://sierra.ai/customers/philippine-airlines>
   > "The agent delivered 98%+ accuracy across more than 900 FAQ test scenarios and a perfect pass rate on functional UAT."

Canonical: https://agentcasefile.com/cases/philippine-airlines-sierra-voice-agent/ · License: CC BY 4.0 (summary) · Source: Agent Casefile