Handled by AI
Share of calls the agent completed without a human, or handed over cleanly with context. Deflection to a callback does not count.
اتركوا سير عمل واحداً ورقمكم. يعرّف الذكاء الاصطناعي بنفسه، ويطرح أسئلة مركزة، ويعد ملخصاً منظماً.
Every case below is a production deployment, measured on 100% of calls, not a pilot slide. Customer names are shared under NDA with the customer's consent; results are published by sector. The list grows as deployments mature.
Approximately 72% of conversations reached a clear resolution, while AI agents handled 53-55% of the volume across three stable months, 24/7 with no queue and up to 81% lower operating cost on this selected deployment against the agreed baseline.
of inbound calls answered instantly. 70.3% of dialogues reached a conclusion, 96.9% positive sentiment across a 30-day window, plus a survey pilot with a +54 recommend score.
hot-lead rate on a dealer campaign, with 92% reached and real conversations converted into warm leads for sales in about one hour, with 97.2% positive reception.
of driver calls answered instantly on a 24/7 line. 21.4% of calls came outside business hours, some at 2 AM; 34.7% ended with a positive outcome such as a job accepted or a negotiation escalated.
of qualified conversations became sales-ready leads, handed to sales from a dormant pool reached over five weeks, with 95.1% constructive reception and meaningful talk time saved for the sales team.
No case study matches this filter yet. New deployments are added as they mature.
Longer pieces on what we learned deploying voice agents, from health tourism and hospitality to call center operations. All articles
How international patient pipelines change when intake, qualification and follow-up run on voice agents in the patient's language.
Read Case StudyWhy the voice has to sound like a teammate before a patient books a consultation abroad.
Read Case StudyDiversifying a hotel's customer portfolio when the reception line speaks every guest's language.
Read Case StudyHow AI agents are being applied across traditional, less digitised sectors.
Read Case StudyOn using team agents in voice AI to replicate the approach of top-performing staff.
Read Case StudyA look at call center hiring bottlenecks and whether voice AI changes the equation.
ReadThe same four measures appear in every case, so results can be compared across sectors and over time.
Share of calls the agent completed without a human, or handed over cleanly with context. Deflection to a callback does not count.
Share of calls picked up on the first ring, with no queue. Measured on the full line, including nights and holidays.
Share of conversations that ended in the outcome the campaign was built for: a lead qualified, a booking made, a survey completed.
Sentiment at the end of the call, scored on every conversation and audited against human reviewers. 94% agreement measured on production calls.
Deployments that are live but too young for a published case. Each gets a case study once it has three months of production data.
Thirty minutes to scope the first agent, then a pilot measured the same way as every case above.