Contact Center Integration
We connected the MVP with ADNOC's existing contact center flow so internal support call data could be ingested reliably without interrupting live support operations.

MMC Global delivered a Whisper AI-powered MVP for ADNOC's IT Support Center, connecting its contact center with multilingual transcription, behavior analysis, sentiment analysis, and management dashboards for internal call intelligence.
Delivery Stage
MVP
Speech Engine
Whisper AI
Call Type
Internal Support
Insights
Behavior + Sentiment

ADNOC needed a practical MVP for its IT Support Center to capture multilingual internal calls from the existing contact center, transcribe them with Whisper, and convert conversation data into dashboards that management could review for service quality, behavioral patterns, and sentiment trends.
ADNOC's IT Support Center was handling a high volume of internal calls across multiple languages, which made it difficult to review conversations manually and identify recurring support issues at scale.
The MVP also needed to work with the existing contact center environment so call audio and metadata could be captured without disrupting day-to-day support operations.


MMC Global designed and delivered an AI MVP for ADNOC's IT Support Center, covering contact center integration, multilingual transcription, analytics pipelines, and management dashboarding.
We connected the MVP with ADNOC's existing contact center flow so internal support call data could be ingested reliably without interrupting live support operations.
Using Whisper, we built transcription workflows for multilingual internal calls, creating structured text outputs that could be reviewed, searched, and analyzed.
We created management dashboards to make call activity, operational trends, and support-center insights accessible to leadership in a practical reporting layer.
The MVP included behavioral analysis views to highlight communication patterns, escalation indicators, and agent-customer interaction trends across support conversations.
We added sentiment analysis to help management identify negative interactions, monitor service quality signals, and prioritize areas that required operational attention.
The solution was delivered as an MVP to validate business value quickly while establishing a scalable foundation for broader call intelligence and automation initiatives.

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