ممارسة في الذكاء الاصطناعي الصناعي  ·  الخليج  ·  بالعربية والإنجليزية رد خلال يوم عمل واحد
Conversational voice AI

A Gulf telecom operator - Conversational voice AI

Telecommunications · Gulf

← كل الأدلة الموثّقة

شكل هذه المشكلة

The answer exists and nobody can find it

المشكلة

Customers needed natural voice support across account, billing, usage, package, and sales journeys. Voice is unforgiving here in a way text is not: these journeys cross an authentication boundary, involve numbers that are easily misheard, and are usually attempted while the customer is doing something else. A menu-driven line handles none of that well, and demand scaled directly into agent minutes because every routine balance or package question still reached a person.

ما بنيناه

We built the service on a real-time speech model and a telephony provider for phone and browser conversation, with separate pre- and post-authentication states, spoken number confirmation, security questions, and business tools wired into the flow.

ما تغيّر

المقياس قبل بعد
Average time to complete an authenticated account or billing enquiry 6.2 minutes 94 seconds
Conversations completed without an agent لا قياس سابق 71%
Spoken account and phone numbers captured correctly 84% first-pass 98.6% after confirmation

Average time to complete an authenticated account or billing enquiry

قبل 6.2 minutes بعد 94 seconds

Conversations completed without an agent

71%

71%

Conversations completed without an agent

الحلقة هي كامل ذلك القياس. والقوس الرمادي هو الـ 29% المتبقية.

الأرقام من سجلات التنفيذ الخاصة بالممارسة للمشروع المذكور، مقيسةً مقابل العملية التي سبقته.

ما توقّف عليه

A voice agent is judged in the spaces between answers - interruptions, silence, misheard digits, changes of intent - so turn management and graceful recovery were treated as core product behaviour rather than polish. Human agents were left with fewer basic requests and a more structured set of exceptions to review.

خط الخدمة
Service & Conversation AI

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