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Month: June 2025

Categories
Cloud

AI strategy to build customer resilience during outages

  • Post author By navyasree.a
  • Post date June 17, 2025

Adopt a GenAI-powered Outage Management Framework for near real-time, personalized notifications and Estimated Time of Resolution (ETR) to build trust and transparency during service disruptions

As converged networks become the norm, AI-driven customer expectations rise, and regulatory demands for transparency intensify, the traditional outage management strategies are falling short. While network disruptions are inevitable, how enterprises respond can make or break customer trust, brand loyalty, and regulatory compliance.

With network outages costing enterprise customers, including CSPs, over $1.2 million on average, and 21% of telecom users switching providers after just one negative experience, the stakes have never been higher. In today’s digital age, millions turn to platforms like Downdetector and Twitter to express frustration in real time. This makes transparent, timely communication during outages not just a best practice, but a business imperative.

Companies across sectors face growing challenges in maintaining customer satisfaction during outages, hindered by fragmented systems and manual processes. Key gaps include:

  • Lack of proactive outage updates to customers, including ETR
  • Absence of Self-Service Tools for Independent Service Status Verification
  • Inconsistent communication for unified outage updates across customer touchpoints

These shortcomings lead to increased inbound calls, customer frustration, anxiety, brand damage, and ultimately, higher churn.

Revolutionize outage management with the AI-powered Total Outage Management Framework (TOMF), a scalable, intelligent, self-learning system designed for proactive customer engagement. Powered by AI Outage Managers, TOMF automates outage detection, generates personalized updates adapting to customer segments (B2B, B2C) and communication channels, enables triage, notifications, and multi-platform streaming with minimal human intervention. The key components of TOMF are as follows:

  • Automated Outage Monitor: Periodically extract outage details like ticket & dispatch status, enabling timely insights and proactive responses
  • Smart Notification (SmartNoti): Use GenAI to create context-aware and persona-tailored outage summaries and ETR updates, to curb customer uncertainty
  • Notification Review System (NRS): Provide human-in-the-loop oversight for high-stake scenarios while auto-approving low-risk cases, hence safeguarding sensitive data
  • Outage Streaming Engine: Create a centralized outage data storage of all approved outage summaries, ensuring seamless access across digital channels, CRM platforms, and customer-facing teams


“In network outage scenarios, AI/Gen-AI can enhance responsiveness and personalization, providing tailored recommendations and solutions to individual customers.”


Categories
Operational Excellence

Transform field service operations with Generative AI

  • Post author By navyasree.a
  • Post date June 11, 2025

Leverage GenAI-powered field service framework to reduce technician assist calls and dispatch costs by 50%

In today’s experience-driven market, field service is a critical differentiator for enterprises. Despite the significant digitalization efforts, traditional field services remain reactive, inefficient, and costly. Enterprises are grappling with rising volumes of field technician dispatches, increasing customer churn, and operational overhead resulting from repeated visits and prolonged issue resolution cycles. “20–30% of all field service dispatches are repeat visits, costing $100–140 per visit, primarily due to unresolved issues during the initial service attempt” – Aberdeen report. This is typically due to inadequate access to service history, a lack of contextual intelligence, and an over-reliance on backend support teams. Additionally, field technicians rely more on support centers for installation and repair services, leading to an increase in calls for guidance, diagnostics, or additional information. The support agents charge an average of $20-30 per call, thereby straining resources and increasing operational costs.

Enterprises should shift towards a Generative AI (GenAI)-powered field service approach to address these issues and redefine how field services are delivered, making them intelligent, autonomous, and proactive. Whether it’s a fiber technician addressing last-mile connectivity, a smart meter installer troubleshooting edge device faults, or a hardware engineer servicing campus Wi-Fi deployment, a holistic GenAI-powered approach can help deliver faster, more innovative, and effective field interventions.

Implementing a GenAI-powered field service framework can equip technicians with AI-generated, real-time, and contextual insights for installations, repairs, and diagnostics, thereby reducing the time spent on calls or rework and improving installation and repair services by 40%. It also facilitates 2x acceleration in assisting field technicians, 50% reduction in dispatch costs , and a 50% improvement in efficiency with quick and easy access to customer and facility data.


“Heavy reliance on support centers for field fixes drives up assist calls. Support agents charge an average of $20-30 per call, thus increasing the costs for enterprises.”

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  • AI strategy to build customer resilience during outages
  • Transform field service operations with Generative AI
  • Elevate your Software Solutioning game with Generative AI
  • Optimize Telecom Network Management with Generative AI
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