Smart incident detection and automation for an American multinational telecommunications company
Overview
A leading American multinational telecommunications provider supports millions of subscribers through a complex and highly distributed digital infrastructure. As operations scaled, incident detection and response workflows became increasingly fragmented, slowing coordination between support teams and delaying service restoration.
To address these challenges, HCLTech implemented TCogniHub v1.0, an AI-enabled incident management solution built on the Microsoft Power Platform. The solution automates anomaly detection, incident communication and operational workflows—enabling faster response, improved visibility and stronger service reliability.
The Challenge
The client relied on manual and fragmented workflows for incident detection and communication. Support teams had to monitor multiple tools, manually initiate bridge calls and create incident tickets across systems.
These delays slowed down bridge initiation, Major Incident Management (MIM) engagement and log investigation, increasing downtime and affecting service reliability. Additionally, limited real-time visibility into incident communications and log tracing made investigations time-consuming and inefficient.
The organization required a centralized, automated solution that could accelerate incident identification, streamline communication and provide leadership with real-time visibility into ongoing incidents.
The Objective
The organization aimed to modernize incident management workflows to improve response speed and operational visibility. Key objectives included:

- Accelerating incident detection and response across operations teams
- Enabling faster engagement of MIM teams and on-call support engineers
- Reducing downtime through quicker issue isolation and remediation
- Improving investigation efficiency through optimized log tracing workflows
- Providing leadership with real-time visibility into incident status and bridge activity
The Solution
HCLTech deployed TCogniHub v1.0, an intelligent incident orchestration solution built on Microsoft Power Platform (Power Automate and Copilot) to streamline detection, communication and response workflows.

- Real-time anomaly detection
AI-driven monitoring detects anomalies and automatically posts alerts in incident communication channels, ensuring immediate visibility for support teams. - Automated incident coordination
The solution automatically initiates conference bridges and triggers response workflows, eliminating delays associated with manual coordination. - Seamless ticket creation
ServiceNow tickets are automatically generated when anomalies are reported, enabling faster tracking and structured incident management. - Accelerated MIM engagement
Major Incident Management teams and on-call engineers are notified instantly, enabling rapid response and containment. - Centralized incident visibility
A unified dashboard provides leadership with real-time insights into incident status, MIM engagement and support bridge activity.
The Impact
The implementation of TCogniHub v1.0 delivered measurable improvements in operational efficiency and incident response performance:

- 100% reduction in Mean Time to Detect (MTTD) through instant anomaly detection
- ~80% reduction in Mean Time to Acknowledge (MTTA) enabling faster response from support teams
- ~50% reduction in Mean Time to Resolve (MTTR) resulting in quicker service restoration
These improvements significantly reduced escalation delays, minimized service disruptions and enhanced overall operational reliability.
Beyond the Numbers
Beyond operational metrics, the implementation of TCogniHub v1.0 improved collaboration and transparency across operations teams.
Real-time incident visibility allowed leadership to monitor critical incidents without relying on manual updates, while automated workflows eliminated delays caused by manual coordination. Support teams could focus on resolving issues rather than managing administrative tasks, significantly improving productivity and operational agility.
The transformation also strengthened the organization’s incident management framework, ensuring the infrastructure can scale reliably as service demand grows.
Celebrating Success
By implementing TCogniHub v1.0, HCLTech helped the telecommunications provider modernize its incident management operations with AI-driven automation and intelligent orchestration.
The solution not only accelerated incident detection and resolution but also created a scalable foundation for resilient operations—ensuring reliable service delivery for millions of subscribers.
