
InsuranceSouth & Central America · Mexico
Auditing 100% of inbound calls, automating complaint taxonomy at 94% accuracy, and governing every production agent across South & Central America and Mexico
Global Fortune 500 Insurance Group · Voice QA agents · enterprise AI governance
- 100%
- of monthly inbound calls audited across 12 quality criteria
- –70%
- QA cost versus sampled human review
- 94%
- classification accuracy across 100% of inbound
How the business benefits
Before vs. after Allometrik
Payback window · 9 weeks
Before
- Inbound audited≤ 5%
- Complaint classification≤ 50%
- Sandbox orphansUntracked
After Allometrik
- Inbound audited100%
- Classification accuracy94%
- Owner & process mapping100%
The challenge
- QA sampled ≤5% of inbound while complaint leakage drove policy churn across Mexico and the wider region.
- Shadow agents lived in sandboxes with no named owner and no mapped process.
The approach
- QA and taxonomy agents on Genesys Cloud and Five9, with Whisper and Azure AI Content Understanding, scoring 12 criteria on every call.
- A global enterprise agent platform on Azure & Azure AI Foundry: 0 unmonitored sandbox agents, 100% named owner, 100% process mapping, one governance standard.
Visual system blueprint
How it actually runs
12-criteria QA scorecard
- Greeting & ID98
- Empathy91
- Process adherence96
- Disclosure100
- Hold handling88
- Accuracy97
- Complaint capture94
- Next-step clarity93
- Tone90
- Compliance script99
- Resolution attempt92
- Close quality95
Diarised transcript · ES-MX
Agent Buenos días, le atiende Carla de siniestros. ¿Me confirma su póliza?
Caller Es la tercera vez que llamo por el mismo rechazo. Quiero presentar una queja formal.
Complaint captured · taxonomy 94% · owner: QA-LATAM · process: inbound-complaint
Stack deployed
What it runs on
- Genesys Cloud
- Five9
- Whisper
- Azure AI Content Understanding
- Azure OpenAI (GPT-4.1)
- Allometrik AI OS
- Azure AI Foundry
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