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.
Reported outcomes
Outcomes are reported exactly as stated by the source; we have not independently audited them.
How it works
- Voice agent handles booking retrieval, FAQs, and loyalty transfers.
- 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
Tools mentioned & how to build it
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Tools mentioned
- Sierra (Sierra)
Conversational AI agents for customer service, chat and voice.
Build a version yourself
- n8n
Open-source workflow automation with AI agent nodes; self-host or cloud. - HubSpot (Breeze agents)
SMB-friendly CRM with Breeze AI agents for prospecting and support. - Retell AI
Build and deploy phone agents for scheduling, intake and call routing.
Sources
“The agent delivered 98%+ accuracy across more than 900 FAQ test scenarios and a perfect pass rate on functional UAT.”Philippine Airlines and Sierra
Grade rationale: Named organization with a quantified outcome from the vendor or the organization itself (self-reported). Automated check on Oct 17, 2026: 1/1 quotes and 3/3 outcome claims matched the source. Compiled by the Agent Casefile research desk (AI-assisted; see methodology). Spot an error? Request a correction.
