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Discover how Anjuna Security transformed their technical support and enhanced privacy offerings using Ascendo AI's knowledge-first coworkers, achieving faster resolution times and improved customer support KPIs in multi-cloud environments. Download Case Study: Ascendo AI Empowers Anjuna Security with Technical Support AI Coworkers Discover how Anjuna Security transformed their technical support and enhanced privacy offerings using Ascendo AI's knowledge-first coworkers, achieving faster resolution times and improved customer support KPIs in multi-cloud environments. Please enter your business email ID Please enter a valid name with alphanumeiric value Anjuna Security, a multi-cloud data security provider, struggled with scaling technical support for their complex hardware-assisted isolation platform. Their small team needed a solution to handle growing technical inquiries while efficiently managing product knowledge. Partnering with Ascendo AI, they implemented knowledge agents, Slack integration, and Cognitive Privacy agents. This transformed their support operations by enabling quick access to technical information, automating knowledge creation, and enhancing data protection during customer interactions. The partnership yielded impressive results, with Anjuna exceeding support KPIs in resolution times and first-touch resolutions. The collaboration continues to evolve with plans for enhanced privacy solutions and predictive support features, as validated by Anjuna's Director of Customer Success. To learn more about how Ascendo AI transformed Anjuna Security's technical support while strengthening their privacy offerings, read the complete case study Download now Case Study: Ascendo AI Empowers Anjuna Security with Technical Support AI Coworkers Ready to learn more? Contact Us

Breakthrough case study reveals how a high-growth SaaS company achieved 100%+ faster customer resolutions and a 100%+ productivity boost using Ascendo's AI-powered support platform within existing Slack channels. Download Case Study: AI-Powered Slack Support Conquers Customer Service Chaos and Boosts Agent Productivity Breakthrough case study reveals how a high-growth SaaS company achieved 100%+ faster customer resolutions and a 100%+ productivity boost using Ascendo's AI-powered support platform within existing Slack channels. Please enter your business email ID Please enter a valid name with alphanumeiric value Drowning in Slack support chaos? As a high-growth SaaS company, you know the struggle: hundreds of channels, endless questions, overwhelmed agents. But what if Slack itself became your secret weapon? Ascendo's AI-powered platform unlocks the hidden potential of your existing Slack channels. Imagine this: Agents get instant AI support: relevant solutions, knowledge base suggestions, all within Slack's familiar flow. Lightning-fast responses: customers feel heard with under 1-minute first replies, no more ticket queue frustration. Supercharged agents: resolve issues 100% faster, freeing up time and boosting morale. Team-wide learning: Ascendo captures expert solutions, continuously improving its knowledge base for everyone. The results? The case study reveals: 300+ Slack channels tamed: transformed into efficient support hubs. Customers thrilled: exceeding expectations with lightning-fast service. Agents on fire: 100%+ productivity, empowered to excel. Ready to experience the Ascendo Advantage? Download our case study to see how AI can elevate your customer experience and unleash the full potential of your support team. Escape the chaos, unleash your team's potential, and join the Ascendo revolution today. Download now Case Study: AI-Powered Slack Support Conquers Customer Service Chaos and Boosts Agent Productivity Ready to learn more? Contact Us

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Discover how Teradata transformed its customer support with Ascendo AI’s generative AI solution integrated into ServiceNow. Learn how it improved First Contact Resolution (FCR), reduced resolution time, and enhanced customer satisfaction. Download Case Study: From Manual to Seamless: Teradata's Support Evolution with Ascendo AI Discover how Teradata transformed its customer support with Ascendo AI’s generative AI solution integrated into ServiceNow. Learn how it improved First Contact Resolution (FCR), reduced resolution time, and enhanced customer satisfaction. Please enter your business email ID Please enter a valid name with alphanumeiric value Teradata, a global leader in data and analytics solutions, faced inefficiencies in customer support due to manual processes and inconsistent service quality. Despite using multiple tools, support engineers struggled with slow knowledge retrieval and repetitive tasks, impacting First Contact Resolution (FCR) rates and customer satisfaction. By integrating Ascendo AI’s generative AI capabilities with their ServiceNow platform, Teradata transformed its support operations. AI-powered tools streamlined knowledge access, automated repetitive tasks, and predicted customer needs, enabling faster more accurate responses. The result was significantly improved FCR rates, reduced resolution times, and a more efficient support process. The partnership delivered substantial cost savings and elevated customer satisfaction. With plans to expand AI integration across more functions, Teradata is driving innovation in customer experience. Read more to explore the full case study and the impact of AI-powered support. Download now Case Study: From Manual to Seamless: Teradata's Support Evolution with Ascendo AI Ready to learn more? Contact Us

Forget clunky knowledge management! KI, powered by AI, makes it smarter and more helpful for customer support. It learns, creates, and shares knowledge. KCI, an advanced KI approach, prioritizes valuable content and guides workflows. The result: exceptional customer service through intelligent knowledge. Download Knowledge Management to Knowledge Intelligence Forget clunky knowledge management! KI, powered by AI, makes it smarter and more helpful for customer support. It learns, creates, and shares knowledge. KCI, an advanced KI approach, prioritizes valuable content and guides workflows. The result: exceptional customer service through intelligent knowledge. Please enter your business email ID Please enter a valid name with alphanumeiric value Our Blog Here is your go-to guide on what's latest and greatest in delivering superior customer service with the power of artificial intelligence. Catch some invaluable industry insights, and take it forward on your social media channels! Read all More White Papers Auto categorization 01 Ascendo brings to you one of its most utilized and successful components, Auto Categorization, that is built on state of the art Natural Language Processing techniques and Deep Learning algorithms. AI Based Modern Support Experience 02 Businesses these days receive hundreds and even thousands of customer queries daily. Get started to transform complicated client communications on Slack to smooth, AI assisted interactions 03 Should Companies use Slack or Teams with Their Customers? Escalation Management Guide for proactive support teams 04 The term escalation refers to the action where the issue and the details of a customer interaction is sent higher up the chain, sometimes to the CEO level. View All Ready to learn more? Contact Us Traditional knowledge management (KM) struggles to keep up with the ever-changing needs of businesses. This white paper proposes Knowledge Intelligence (KI) as a solution. KI leverages AI to transform KM from a static system to a dynamic assistant for customer support teams. KI goes beyond finding information. It can learn and create knowledge, identify knowledge gaps, and share expertise across teams. This paper also introduces Knowledge Centered Intelligence (KCI) - a comprehensive approach to KI. KCI utilizes AI to identify high-value content, connect knowledge across departments, and guide knowledge workflows. Implementing KCI offers numerous benefits such as identifying common customer issues, improving content quality, and optimizing self-service options. It empowers businesses to deliver exceptional customer service through a foundation of knowledge and intelligence. Download now Knowledge Management to Knowledge Intelligence

Ascendo brings to you one of its most utilized and successful components, Auto Categorization, that is built on state-of-the-art Natural Language Processing techniques and Deep Learning algorithms. Download Auto Categorization at Ascendo Ascendo brings to you one of its most utilized and successful components, Auto Categorization, that is built on state-of-the-art Natural Language Processing techniques and Deep Learning algorithms. Please enter your business email ID Please enter a valid name with alphanumeiric value Our Blog Here is your go-to guide on what's latest and greatest in delivering superior customer service with the power of artificial intelligence. Catch some invaluable industry insights, and take it forward on your social media channels! Read all More White Papers Auto categorization 01 Ascendo brings to you one of its most utilized and successful components, Auto Categorization, that is built on state of the art Natural Language Processing techniques and Deep Learning algorithms. AI Based Modern Support Experience 02 Businesses these days receive hundreds and even thousands of customer queries daily. Get started to transform complicated client communications on Slack to smooth, AI assisted interactions 03 Should Companies use Slack or Teams with Their Customers? Escalation Management Guide for proactive support teams 04 The term escalation refers to the action where the issue and the details of a customer interaction is sent higher up the chain, sometimes to the CEO level. View All Ready to learn more? Contact Us In Modern Support Experience, one of the greatest challenges that industries face is to identify the Root Cause and Symptoms of the high volume of issues coming in at an incredible velocity. With the gathered data from multiple data sources and immensely varied information, it gets harder to identify and establish the latent causes for problems. Ascendo brings to you one of its most utilized and successful components, Auto Categorization, which is built on state-of-the-art Natural Language Processing techniques and Deep Learning algorithms. Understanding the Problem: Data in the real world is very convoluted and keeps evolving with time. As products and tools continue to improve, the number of issues and types of issues also increase. These issues keep changing with product changes and can evolve into something similar to what was faced before or extremely unique to how the product has evolved. Almost every industry today suffers from exponential growth in issues. The complexity of issues keeps raising the graph of data points. This pattern hardly stabilizes with growth in product stack and integrations. Currently, support agents tend to spend more than 50% of their time evaluating the problems, let alone finding the right solutions. Historical information needs to be crystal clear to understand the data based on past information. Making past data expertly classified and immaculately accurate is a task that is extremely time-consuming and strenuous. It is not difficult just because of the enormity of the data, but also due to inconsistencies in human thinking. When issues are being described by the end customers, people describe problems in their own ways without adding any context to the components of those problems. Moreover, agents and other experts could think of multiple solutions, causes, and symptoms for the same problems which increases the complexity of normalizing your data, therefore introducing multiple ways to understand the same type of data points. The standard way of solving this problem is to make use of expert knowledge. This method introduces multiple points of consideration, making the available solution hard to be implemented: Thousands of historical data points are needed. Each data point needs to be filled in with expert knowledge and accurately defined. Even for a small support team, about 17.5 hours per week is spent manually classifying problems. Multiple people talk about the same issue differently! The list of problems keeps expanding as the product expands Possibility of multiple unknown issues Mapping new problems with the existing list of problems causes inaccurate classes of category assignment Inaccurate learning Manual work hurts getting the Voice of the customer feedback into the product in a timely manner Not understanding issues in real time is an impediment to providing proactive support. Ascendo Recommendation Engine: Ascendo aims to make the support experience as easy as possible for its customers. The solution has to be simple, smart, efficient, fully integrated with data sources, and most importantly requires little effort and time for users. The solution also has to bring expert knowledge into learning and has to be a continuous learning engine. The feedback loop could simply confirm and enhance automatically created root causes that groups multiple problems into their own bucket. Download the full whitepaper to read more on this. Download now Auto Categorization at Ascendo

Discover how AI-powered insights across the customer journey help support teams provide proactive service and become the voice of the customer. You are also interested in our suggestions below How to unlock the value from every customer interaction with ai This webinar focuses on how AI-powered insights from the entire customer journey can help you be the voice of the customer. You will find that these insights provide proactive rather than reactive support. Watch now Role of support to increase customer engagement and mitigate churn This webinar will share best practices gathered from our research that support teams can use to establish communication and avoid customer churn. Watch now How to make proactive support happen? - Infinera customer support success story with Ascendo.AI Leading customer support organizations are are constantly looking for ways to improve their efficiency and adopt a more proactive to resolving customer issues and improving the customer experience Watch now Become an expert in every interaction with Ascendo and slack Slack is emerging as a key collaboration tool, internally and with customers. Learn how to use everyday interactions, to automate creating knowledge, and spreading knowledge to help colleagues and serve customers efficiently. Watch now Watch: Unlocking Value from Customer Interactions with AI | Webinar Video Recording This webinar focuses on how-AI-powered insights from the entire customer journey can help you be the voice of the customer. You will find that these insights provide proactive rather than reactive support Please fill the form in below link to watch the webinar video click here Previous Item Next Item how-to-unlock-the-value-from-every-customer-interaction-with-AI | Webinar Video

Explore the future of service logistics with Ascendo.AI's cutting-edge machine learning and big data solutions. Download Elevate Support Logistics Operations with Ascendo AI Explore the future of service logistics with Ascendo.AI's cutting-edge machine learning and big data solutions. Please enter your business email ID Please enter a valid name with alphanumeiric value Our Blog Here is your go-to guide on what's latest and greatest in delivering superior customer service with the power of artificial intelligence. Catch some invaluable industry insights, and take it forward on your social media channels! Read all More White Papers Auto categorization 01 Ascendo brings to you one of its most utilized and successful components, Auto Categorization, that is built on state of the art Natural Language Processing techniques and Deep Learning algorithms. AI Based Modern Support Experience 02 Businesses these days receive hundreds and even thousands of customer queries daily. Get started to transform complicated client communications on Slack to smooth, AI assisted interactions 03 Should Companies use Slack or Teams with Their Customers? Escalation Management Guide for proactive support teams 04 The term escalation refers to the action where the issue and the details of a customer interaction is sent higher up the chain, sometimes to the CEO level. View All Ready to learn more? Contact Us Enterprises invest significantly in supporting critical service level agreements (SLAs), stocking crucial parts, and collaborating with external contractors. After-sales service represents a significant portion of revenue and profit. Things break unexpectedly, and sometimes emergencies need to be attended to before scheduled jobs. How can an Enterprise Service logistics team become proactive? Ascendo's PredictGPT module is the answer to the questions related to all the missed SLAs by your team. Ascendo Cognitive Parts Planning is introduced as a solution involving proactive management of parts, tools, and locations to deliver spare parts efficiently. By analyzing enterprise service, install-base, and materials planning data, valuable insights can be gained to accurately predict demand and prepare the service organization accordingly. The application of machine learning principles helps implicitly learn failure patterns, enabling the development of prediction algorithms for component demand. Ascendo Cognitive Parts Planning is presented as a solution, leveraging modern technologies like AI (Artificial Intelligence) and machine learning to proactively manage spare parts. Ascendo’s PredictGPT module analyzes enterprise data to predict demand, allowing for more efficient and prescriptive service operations. Download whitepaper to read more on this: Download now Elevate Support Logistics Operations with Ascendo AI