A Gulf telecom operator's finance function - Contract intelligence
Telecommunications / Finance · Gulf
شكل هذه المشكلة
A human reads it and types it in again
المشكلة
Billing teams needed to validate invoices and partner revenue shares against complex contracts. The terms that determine a settlement are written in prose, negotiated per partner, and amended over time, so the correct figure is not derivable from the billing system alone - someone has to read the contract and apply it. At partner-portfolio scale that stops being verification and becomes sampling, and revenue leakage lives in the unsampled remainder.
ما بنيناه
We built a workflow that interpreted contract terms and applied them to customer billing and partner-settlement records, surfacing the exceptions for human review.
ما تغيّر
| المقياس | قبل | بعد |
|---|---|---|
| Partner settlements verified against contract terms | ~15% sampled | 100% |
| Analyst time per settlement review | 40 minutes | ~6 minutes, on flagged exceptions only |
| Discrepancy rate surfaced in the first full-coverage cycle | لا قياس سابق | 2.3x the previously sampled rate |
Partner settlements verified against contract terms
البقية هي ما كانت المعاينة تخفيه.
الأرقام من سجلات التنفيذ الخاصة بالممارسة للمشروع المذكور، مقيسةً مقابل العملية التي سبقته.
ما توقّف عليه
Surfacing exceptions rather than recomputing settlements kept commercial judgment with the billing team while removing the reading burden that made full coverage impossible in the first place. Relevant to any operator whose revenue assurance is bounded by how many contracts a person can read.
- خط الخدمة
- AI Document Intelligence
ابدأ من هنا
أيّ الأربعة هو مشكلتكم؟
أخبرونا بالمستندات والحجم الشهري وسنرسل أقرب سجلّين، مع الأرقام وراء كل منهما وما يلزم لتكرارها على موادكم.
يصلك الرد في غضون يوم عمل واحد، من المهندس الذي سينفّذ العمل.