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AI-Powered Service Operation Management Assistant (GenAI Bot)

Zain KSA · Posted 11 months ago

TelecomGenerative AIPredictive Analytics / Forecasting
Budget
To be determined
Timeline
Not specified
Closed on
31 Dec 2025, 23:59 ICT

Problem statement

Zain KSA’s Network Operations Center (NOC) manages a large and complex service infrastructure that experiences multiple outages and incidents daily. Currently, operations teams rely on manual investigation and static dashboards to identify, summarize, and prioritize outages. This process is heavily time consuming, reactive, and lacks predictive intelligence leading to slower incident resolution and reduced visibility on potential risks.

Expected outcomes and success metrics

Reduce outage detection and reporting time by 50%, lower incident resolution time (MTTR) by 30%, and achieve fully automated outage summaries and predictive alerts for critical services. Improve overall network reliability and decision making for operations teams.

Current process

Zain KSA currently uses standard OSS and legacy tools for network monitoring and incident management. These systems provide data but require manual analysis and lack AI driven insights or predictive capabilities.

Current solution

Zain KSA currently uses standard OSS and legacy tools for network monitoring and incident management. These systems provide data but require manual analysis and lack AI driven insights or predictive capabilities.

Target users and impacted teams

Primarily benefits the Network Operations Center (NOC), Service Management, and IT Operations teams improving their response speed, visibility, and ability to prevent outages. Indirectly enhances the Customer Experience and Service Assurance functions.

Data availability and readiness

The solution requires access to Fault Managment (FM), Performance Management (PM), and CMDB data, along with service and node classification details. All data is already available within Zain KSA’s internal systems and stored in structured formats (databases, CSV exports, and APIs). No sensitive customer data is needed.

Integration, deployment and infrastructure

Integration will connect to existing OSS/ITSM and monitoring platforms through secure APIs. Deployment can be in a hybrid setup (Zain private cloud + secure sandbox for the GenAI model). The solution must adhere to Zain KSA’s cybersecurity and data governance policies, ensuring data remains within Saudi Arabia and operates under professional PoC control. Zain KSA does not provide direct funding for this use case. However, Zain KSA allows the Proof of Concept (PoC) to be executed within its production like network environment under professional governance, security, and compliance frameworks.

Relevant AI technologies

Generative AIPredictive Analytics / Forecasting