Aircall × Unbiased
Aircall x Unbiased, AI Voice Agent lets a six-person team absorb growing volume without added headcount
23% uplift in service level, stabilizing at 93%
Stretched lean team to protected and scaling
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Why it works
The case study anchors on a concrete service-level number (23% uplift to 93%) tied directly to this customer, which gives the story credibility. The wellbeing angle is a genuine differentiator; framing AI adoption as burnout prevention rather than cost-cutting makes the narrative feel human. This is a mild coin-flip between Efficiency and New Capability because the AI overflow handling was a net-new capability, but the headline metric is a number going up, so Efficiency wins on tie-break.
Steal this
The internal stakeholder test-call rollout story: having non-support employees make live test calls before launch is a concrete, repeatable mechanism that builds cross-functional buy-in and doubles as quality assurance, and it is narrated in enough detail that another vendor could replicate it in their own case study.
Click to enlarge ↗ This is editorial commentary and curation. The case study, screenshot, and all metrics are Aircall's published work; we link to the source and lead with our analysis.