How AI Improves Customer Experiences in Telecom

Having 𝘀𝗽𝗲𝗻𝘁 𝟮𝟬 𝘆𝗲𝗮𝗿𝘀 𝗶𝗻 𝘁𝗵𝗲 𝘁𝗲𝗹𝗲𝗰𝗼𝗺 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆, and after attending the 𝗜𝗧𝗪 Washington, I thought I had seen it all— . . . Until generative AI came along and turned everything upside down (in a good way, of course!). During my time at ITW Washington, it became clear that the telecom industry was on the brink of a revolution. Traditional methods were no longer enough. Enter AI, stage left, ready to steal the show. 💚 Case Study #1: AI as the Ultimate Customer Service Agent 💫 Telecom companies are notorious for their "please hold" music and endless queues. But with AI, it's like upgrading from dial-up to fibre optics overnight. AI-powered chatbots now handle high volumes of inquiries with the patience of a saint and the speed of a cheetah. Customer satisfaction? Through the roof! Case Study #2: Predictive Maintenance ✳ Remember the days when equipment failure meant sudden blackouts and frantic troubleshooting? Now, with AI, telecom companies can predict and prevent issues before they even occur. It’s like having a crystal ball but without the spooky fortune teller. Case Study #3: Personalized Marketing 🤴🏻 Gone are the days of blanket marketing strategies. AI enables hyper-personalized marketing, targeting customers with offers they want. It's like your network provider suddenly becoming your best friend who knows exactly what you need. Through my years in the telecom industry and the insights gained at ITW Washington, it’s clear that generative AI is not just a tool but a game-changer. It's challenging the old ways and bringing in new efficiencies, creativity, and customer satisfaction levels we only dreamed of. So, if you’re still sceptical about AI, just remember: it’s here to stay, and it's making our lives a whole lot easier—and a bit more exciting too! Stay tuned for more success stories as we continue to unleash creativity with generative AI. The future is bright, and it's powered by AI! #ceo #insight #itw #ai #automation

Why Traditional Call Centers Are Transitioning to AI-First Support Customer expectations have evolved. They now demand instant responses, round-the-clock availability, and consistent experiences across every channel. Traditional call-center models cannot meet these requirements at scale - AI can. Key Drivers Behind the Shift Rising Customer Expectations Customers prefer real-time support over waiting on hold. AI enables instant, accurate responses across chat, voice, and digital channels. Increasing Operational Costs Recruitment, training, and agent attrition create ongoing cost pressures. AI manages repetitive queries at near-zero marginal cost, allowing organizations to scale efficiently. High Volume of Repetitive Queries Up to 70% of support requests are routine (order updates, resets, FAQs). AI resolves these immediately, allowing human agents to focus on complex, high-value interactions. 24×7 Availability Is Now Essential While human agents work in shifts, customers expect continuous support. AI ensures uninterrupted service - even during nights, weekends, and peak times. Faster Resolution, Better CX AI can instantly search knowledge bases, suggest responses, and predict next issues, reducing handling time and minimizing customer frustration. Seamless Omnichannel Experience AI connects conversations across chat, email, voice, WhatsApp, and in-app channels, ensuring context moves with the customer. AI Enhances Human Capability AI is not replacing human agents - it is augmenting them. AI handles scale and speed. Humans handle empathy and complex decision-making. The result: higher customer satisfaction and more empowered support teams.

“Let me explain the issue again…I was saying…” Does this sound familiar? We’ve all been there: stuck on the phone or chat, explaining the same problem to a new support agent for the third, fourth, or fifth time, feeling unheard. But customer service isn’t just about solving problems. It’s about making people feel heard. Yet, far too often, support interactions feel robotic, cold, and disconnected. You’re bounced between departments. Asked to repeat yourself again and again. Given a ticket number instead of a real solution. And the worst part? No one seems to remember your last conversation. This isn’t just inefficient; it’s deeply frustrating and exhausting, and it shows a lack of empathy. Customer service must go beyond transactions. It should tap into attentive empathy, truly listening to customers, acknowledging their frustrations and cognitive empathy, and offering relevant solutions based on past interactions and emotional context. So how do we do that at scale? OpenAI’s latest update is a step in that direction. ChatGPT can now remember past conversations across sessions. This simple upgrade unlocks a smarter, more empathetic future for customer service. Imagine this: • Your support agent already knows what you’ve been through • They pick up right where you left off • They tailor responses to your preferences and pain points This is what modern, emotionally intelligent service should feel like. And the data speaks volumes: 🔹 76% of customers say repeating themselves is their #1 frustration 🔹 81% prefer brands that personalize the experience With AI memory in play, customer service teams can now: • Offer personalized support journeys • Reduce friction in every interaction • Proactively engage based on past pain points • Build long-term trust through seamless continuity For businesses, this means: • Smarter, AI-powered systems that improve with every touchpoint • Consistent journeys that feel human even when powered by machines • Stronger retention through empathy-led engagement If you’re a forward-thinking company, here’s what to do: • Invest in AI tools with conversational memory • Redesign support flows to feel continuous, not fragmented • Train agents to collaborate with AI as empathy amplifiers • Prioritize data transparency and privacy to build lasting trust Because when customers feel understood, they don’t just stay, they advocate. #AI #ChatGPT #customerexperience #CX #KSA #SaudiArabia

AI‑Enhanced Baseband Intelligence to Elevate 5G Stability and Customer Experience At the centre of every mobile base station is the baseband, the processing brain responsible for orchestrating all radio functions, mobility decisions and frequency operations. Modern mobile networks operate across multiple spectrum layers, dynamically aggregating them to deliver speed, reach and capacity. But as customers move through different environments from dense metro areas, to streets, to buildings, to houses, the network must make split‑second decisions on which cell and band will maintain the most stable connection. Even small misjudgements can lead to dropouts or inconsistent performance. In an Australia‑first innovation, Optus and Ericsson have partnered to embed advanced AI algorithms directly into the network to make these decisions faster, smarter and more accurate. This AI continuously analyses how each device interacts with nearby cells, evaluates dominant and neighbouring frequency layers, and predicts the optimal handover path to maintain a stable experience as customers travel. Ericsson and Optus have jointly developed an AI model that predicts with up to 95% accuracy whether a device operating on one frequency layer is also within the coverage footprint of another layer in a 5G Standalone network. Trained on months of real‑world data from the Optus network, this model provides highly reliable, cell‑level coverage intelligence. With this predictive insight, the network can reduce unnecessary device measurements and checks, enabling: • Faster, more accurate handovers • Fewer dropped calls and data sessions • Lower system load across the network • Improved battery life for customers through reduced device processing • Smoother mobility as customers move between cells and environments This is AI functioning at the heart of the Radio Access Network combining real‑time signals with historical behaviour to anticipate the best connection path rather than react to degradation. It delivers a truly surgical level of optimisation, enhancing consistency at the very edges of coverage where customers need it most. For Optus customers, this means a more resilient, reliable and seamless 5G Standalone experience, powered by AI innovation that operates invisibly behind the scenes. This collaboration shows how AI‑native intelligence inside the baseband can materially elevate everyday connectivity bringing smarter mobility, improved efficiency and a higher‑quality experience to Australians wherever they go. Chris MeissnerKent WuMatthew BanksAnthony MathersMarcin WierzbickiAndrew MichaelVincent HochartNick BromheadLudvig LandgrenPer NarvingerBranko Banda

AI + HI = Improved CX In today’s digital world, businesses strive to deliver exceptional customer experiences (CX) to stand out. While artificial intelligence (AI) has revolutionized CX by enabling automation, personalization, and efficiency, it cannot fully replace the human touch. AI enhances CX by processing vast amounts of data in real time, predicting customer preferences, and providing instant responses through chatbots, recommendation engines, and self-service options. It reduces wait times, offers 24/7 support, and ensures consistency across interactions. However, AI alone has limitations—it lacks emotional intelligence, creativity, and the ability to handle complex, nuanced customer concerns. Human agents bring empathy, critical thinking, and problem-solving skills that AI cannot replicate. When combined with AI, human agents become more efficient, as AI handles routine tasks, provides insights, and allows them to focus on high-value interactions. Impact on BPO KPIs 1. First Call Resolution (FCR) Improvement: • AI-driven knowledge bases and predictive analytics equip human agents with real-time solutions, reducing repeat calls. • Virtual assistants handle routine inquiries, allowing human agents to focus on complex issues. 2. Reduction in Average Handling Time (AHT): • AI-powered tools like speech analytics and automated summaries minimize the time agents spend on after-call work (ACW). • Virtual assistants can gather customer information before handing over to a live agent, speeding up resolutions. 3. Increased Customer Satisfaction (CSAT): • AI ensures faster response times and personalized interactions based on past behavior. • Human agents, equipped with AI-driven insights, can provide more empathetic and accurate solutions, improving overall satisfaction. 4. Enhanced Agent Productivity and Utilization: • AI automates repetitive tasks such as data entry, ticket classification, and FAQs, freeing up agents for complex interactions. • Sentiment analysis tools help agents adjust their approach in real time for better engagement. 5. Lower Cost Per Contact: • AI-driven self-service options reduce the volume of inbound calls and chats, lowering operational costs. • Intelligent routing ensures the right agent handles the right query, optimizing workforce efficiency. 6. Improved Net Promoter Score (NPS): • Personalized AI-driven recommendations and proactive outreach enhance customer engagement. • The combination of AI efficiency and human empathy fosters long-term customer loyalty. The synergy of AI and HI leads to an improved CX by ensuring speed, accuracy, and emotional connection. AI-driven insights empower human agents to offer proactive solutions, while human empathy ensures customers feel valued. AI and HI are not competitors but collaborators. Businesses that successfully integrate both will deliver superior CX, optimize BPO performance, and achieve sustainable growth in an increasingly digital world.

I'm excited to announce the launch of AI Refinery for Sovereign and Agentic AI, a groundbreaking platform that deepens our partnership with NVIDIA. This first-of-its-kind platform champions data sovereignty and operational resilience through physical AI, paving the way for enhanced competitiveness in the journey toward agentic AI.   As I've mentioned before, I firmly believe that AI presents a unique opportunity for Europe to reinvent its economy, drive productivity, resilience, and competitiveness, and support future growth. I'm incredibly proud to see the momentum our clients are gaining, including Public Power Corporation, Roche, Kion Group, Noli, and Nestlé.   Nestlé, for instance, is launching a new AI-powered in-house service that will generate high-quality product content at scale for eCommerce and digital media channels. This initiative exemplifies the transformative potential of AI in driving business efficiency and innovation. The expansion of our AI Refinery platform is particularly significant for European organizations, enabling them to accelerate the deployment of AI agents while addressing their sovereignty concerns. This is especially crucial for the public sector and critical infrastructure industries, such as energy, telecommunications, and defense.   We continue to support our clients in maintaining control over their critical data and leveraging innovative AI solutions through this expanded AI Refinery platform. More details here: https://lnkd.in/dvekqfB6 #Noli #Nestle #PublicPowerCorporation #KionGroup #Roche #AgenticAI #AI #Accenture

This is pretty cool. Anyone looking for the much-anticipated (but less often observed) gen AI productivity boost should read about our work with Deutsche Telekom, where an AI-powered “personal trainer” helped thousands of employees improve customer experience, resolution rates, and more. Deutsche Telekom is a powerhouse, with millions of customers and thousands of call center and field service agents around Germany. But as they grew, the company found it hard to maintain the high bar they set for their employees, with ripple effects across customer experience, operational efficiency, and employee satisfaction. Traditional learning programs weren’t cutting it—the question was, how to customize learning at scale? Enter gen AI. By teaming up with Deutsche Telekom—from the c-suite to the call centers—our colleagues helped build and launch a capability-building engine that could individually upskill service agents and better meet customer needs. Leveraging our in-house frontline AI product, we used millions of pieces of call data, field service notes, customer feedback and more to identify skill gaps and provide tailored learning interventions. The results so far are clear—a 14 point increase in customer satisfaction and a 10 percent increase in first-time resolution rates year over year, with more I’m sure to come. But the real lesson? The technology is essential, but not enough. It’s the people and organization that will determine success. You can find the whole story here: https://lnkd.in/gYsymvXj Huge congrats to Deutsche Telekom, and thanks to Julian Raabe, Nicolai von Bismarck, and all the colleagues who helped bring this work to life.

NVIDIA and Infosys focus on telecom... The blog post discusses how Infosys leveraged NVIDIA's NeMo Retriever and NIM (Neural Inference Microservices) to enhance the efficiency and accuracy of telecom Network Operations Centers (NOCs) through generative AI. Infosys developed a smart NOC solution that uses AI-powered chatbots for network troubleshooting, reducing downtime, and improving customer service. The solution involved creating a vector database of network-specific documents, optimizing embeddings, and reranking for accurate and fast responses. The implementation of NVIDIA's technology significantly reduced latency by 61% and improved accuracy by 22%, enhancing the overall performance and reliability of the NOC systems. #nvidia #telecom #infosys https://lnkd.in/gp85zTUa

In a short time, AI is having a transformational impact on CX and EX. RingCentral’s latest research with the experts at Metrigy sheds light on what that looks like in action. The research shows that a big portion of AI investment this year will go to customer self service tools (70%) and agent assistance (67%). The good news? This type of investment is already paying off. More than 40% of respondents say AI is already reducing the number of customer interactions that require live agent support, it’s shortening the length of calls, and it's reducing the amount of time agents spend on after-call work — saving nearly 6 minutes per call. For companies seeing thousands of calls a day, that’s a huge productivity boost. But it isn't just about automation; it’s about creating better experiences. For instance, interaction analysis helps businesses understand customer sentiment, allowing for more personalized and effective follow-ups. Check out our blog and dive into our full report to see how these insights can transform your operations, too. https://lnkd.in/eaDhYhva

Ever felt overwhelmed by the sheer volume of customer interactions, struggling to keep pace? 🤯 The true future of customer experience isn't just about managing interactions—it's about intelligent, proactive engagement. Reliance on manual processes for comprehensive customer insights often results in delayed responses and inconsistent service quality. This is precisely why a dedicated solution like Jugl AI's Customer Experience AI Solution is transformative. Companies leveraging advanced AI in CX, like those powered by Jugl AI, report reducing operational costs by as much as 30%. This efficiency gain allows businesses to reallocate resources towards more strategic initiatives and deeper customer engagement. 1. Begin by implementing AI-powered chat Agents for instantaneous first-line support. 2. Integrate advanced AI tools for real-time sentiment analysis, understanding customer emotions. 3. Develop AI models with diverse training data to ensure equitable, unbiased experiences for all. What are your immediate next steps to leverage AI for a smarter, more efficient CX experience? 🚀 #AIinCX #CustomerExperience #TechInnovation #JuglAI