AI IN THE ENTERPRISE

Blended.

Get practical tips compiled from fellow Customer Support practitioners. Use cases on adopting AI to improving agent efficiency and customer experience.
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Customer Support
January 2, 2025

Intercom vs. Zendesk: The Right Customer Support Platform for Scalable Success

Explore the key differences between Intercom and Zendesk, two leading AI-driven customer support platforms. This in-depth comparison covers automation, omnichannel support, chatbot intelligence, integrations, pricing, and ROI to help enterprises choose the best solution for scalable customer success and engagement.

Customer Support
January 2, 2025

Triaging Customer Support Tickets with AI

AI-powered ticket triage automates categorization, prioritization, and routing of support tickets, reducing response times and improving efficiency. By leveraging machine learning and sentiment analysis, AI ensures tickets reach the right agent while handling common queries automatically. Businesses that implement AI-driven triage benefit from faster resolutions, lower costs, and enhanced customer satisfaction.

Customer Support
January 1, 2025

HelpDesk vs. AISera: Choosing the Right AI-Driven Support Platform for Enterprise Growth

Compare HelpDesk and AISera to determine the best AI-driven customer support platform for enterprise growth. Explore automation, omnichannel capabilities, chatbot intelligence, integrations, pricing, and ROI to align with your business goals and customer service strategy.

Customer Support
December 26, 2024

Chatbots in the Last Five Years?

Chatbots have evolved from simple rule-based systems to AI-powered conversational agents with advanced natural language understanding and personalization. They now integrate seamlessly with business applications, offer multimodal interactions, and enhance customer service efficiency. Future advancements will focus on emotional intelligence, stronger security, and more human-like conversations.

Customer Support
December 19, 2024

What to Avoid When Writing Knowledge Base Articles for a Product

Avoid common mistakes in knowledge base articles, such as using jargon without explanation, lacking clear step-by-step instructions, and failing to update outdated content. Ensure readability with scannable formatting, SEO optimization, and troubleshooting sections. Regular updates and user feedback help maintain an effective and user-friendly knowledge base.

Customer Support
December 2, 2024

How to Write Good Knowledge Base Articles for a SaaS Product

A well-structured knowledge base helps SaaS users find answers quickly, reducing support tickets and improving customer experience. Effective articles should be clear, concise, scannable, and SEO-optimized, with a consistent format and actionable content. Regular updates and user feedback ensure the knowledge base stays relevant and useful over time.

Customer Support
November 19, 2024

How AI is Accelerating Customer Support Automation

AI is transforming customer support by automating responses, reducing costs, and enhancing customer satisfaction. Key technologies like AI chatbots, machine learning, and sentiment analysis enable faster, more personalized service. The future of AI in support includes hyper-personalization, self-service automation, and omnichannel integration.

Customer Support
October 25, 2024

A Glossary of the Top 20 Benefits Cited by Support Teams Using AI for Customer Support

AI is revolutionizing customer support, enhancing efficiency, improving customer satisfaction, and reducing operational costs. Businesses leveraging AI-powered customer service solutions experience significant gains in ticket deflection, response times, and overall service quality.This glossary highlights the top 20 benefits of AI in customer service, with real-world examples of how companies are achieving success with AI-powered solutions.

Key Concepts
October 2, 2024

How Are AI Agents Different from AI Q&A?

This article covers the difference between AI Agents and QnA systems. AI Q&A systems provide quick responses to queries, while AI agents autonomously execute tasks and integrate into workflows. Businesses can leverage AI-powered customer service solutions to enhance efficiency, reduce ticket deflection, and improve customer experience. Understanding the difference between AI Q&A and AI agents helps in choosing the right technology for automation and support.

Customer Support
September 29, 2024

The Future of AI Support Infrastructure Design

As businesses increasingly adopt AI for customer support, having a scalable and reliable AI support infrastructure is essential. Modern AI systems now utilize advanced algorithms and cloud-native architectures to enhance efficiency and manage customer interactions effectively. Decision-makers must focus on building robust infrastructures that can adapt to changing demands and ensure seamless operations.

Customer Support
September 28, 2024

Top Platforms for AI Support Infrastructure in 2025

In 2025, businesses must embrace advanced AI support infrastructure to enhance customer service and operational efficiency. Key platforms like AWS, Google Cloud, Microsoft Azure, IBM Watson, and Oracle are leading the way, offering scalable and integrated solutions. Decision-makers should prioritize observability, integration, and personalization to keep pace with evolving technology.

Customer Support
September 27, 2024

Why Infrastructure Matters for AI Support Success

The success of AI-powered customer support relies heavily on robust infrastructure, including platform architecture, scalability, and observability. Businesses must prioritize security and select efficient tools to enhance performance and adapt to changing demands. A proactive approach to infrastructure planning is essential for delivering exceptional customer support experiences.

Customer Support
September 24, 2024

The Future of Multilingual AI in Global Customer Service

As businesses expand globally, multilingual AI support is essential for effective customer service. It enhances communication through AI translation, global chatbots, and language detection, leading to increased customer satisfaction and engagement. Investing in multilingual AI is a strategic priority for companies seeking to thrive in diverse markets.

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Customer Support
September 23, 2024

Guide to Implementing Multilingual AI Support Systems

Multilingual AI support systems are crucial for businesses to provide effective customer service in a global landscape. By integrating language detection and AI translation, companies can overcome language barriers, enhance efficiency, and improve customer satisfaction. Strategic implementation and continuous optimization ensure these systems meet evolving customer needs.

Customer Support
September 22, 2024

Why Multilingual AI Support Is a Must-Have in 2025

As businesses globalize, multilingual AI support becomes essential by 2025 for enhancing customer satisfaction and ensuring competitive sustainability. The ability to effectively communicate in multiple languages fosters trust and optimizes operational efficiencies while expanding market reach. Organizations must adopt such advanced technologies to meet diverse language needs and thrive in a multilingual digital economy.

Customer Support
September 20, 2024

Understanding The Risks of Putting AI in Customer Support

AI-powered customer support enhances efficiency but poses risks like security breaches, customer dissatisfaction, and compliance challenges. Businesses must balance automation with human support to maintain trust and service quality. Learn more about AI risks and best practices.

Customer Support
September 9, 2024

Guide to AI-Driven Fintech Customer Data Platforms

AI-driven customer data platforms are revolutionizing the fintech industry by enhancing data utilization, improving customer insights, and ensuring compliance with regulations. By leveraging AI, fintech companies can create personalized experiences, optimize operations, and combat fraud effectively. A strategic implementation roadmap is essential for firms looking to integrate these transformative technologies.

Customer Support
September 3, 2024

Does Lack of Documentation Prevent AI Adoption in Customer Support?

AI in customer support enhances efficiency but faces challenges without proper documentation. However, AI-powered tools can extract knowledge from unstructured data, automate responses, and improve over time. Businesses can bridge documentation gaps using **AI chatbots, agent assist AI, and AI-powered helpdesks** to optimize customer experience.

Customer Support
August 30, 2024

How AI for SaaS Support Enhances Retention Rates

Leveraging AI for SaaS support enhances customer retention rates by improving user experience, streamlining onboarding, and providing personalized interactions. As AI technologies evolve, companies that incorporate these solutions can achieve sustainable growth and strengthen customer loyalty. Effective implementation of AI strategies is crucial for addressing challenges like churn and ensuring ongoing value delivery to customers.

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Customer Support
August 26, 2024

Guide to Building Scalable AI Support Infrastructure

This guide outlines the essential steps for building a scalable AI support infrastructure, emphasizing the importance of data management, observability, and modular architecture. With actionable strategies for infrastructure selection and implementation, organizations can enhance operational efficiency and customer experiences. Future-proofing against technological advancements and maintaining security are also highlighted as crucial components for success.

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Customer Support
August 25, 2024

How AI Support Infrastructure Scales Customer Service

AI support infrastructure is revolutionizing customer service by enhancing efficiency, scalability, and overall customer experiences. With advanced tools like chatbots and machine learning algorithms, businesses can automate routine tasks while providing personalized support. Implementing AI strategies allows organizations to better meet modern customer demands and gain a competitive edge.

Customer Support
August 23, 2024

Glossary of the Top 20 Metrics Used in Customer Support

In today’s fast-paced business environment, customer support metrics play a crucial role in assessing efficiency, improving customer satisfaction, and optimizing resources. Companies leveraging AI customer service solutions and AI-powered customer support tools are increasingly using data-driven strategies to enhance customer experience (CX).

Customer Support
August 21, 2024

Top Tools for Multilingual AI Support in Fintech

Multilingual AI support is essential for fintech companies to enhance customer experiences and expand globally. By leveraging tools like global chatbots and AI translation, firms can efficiently cater to diverse language needs, improving customer satisfaction and market reach. As the fintech landscape evolves, adopting these technologies will provide businesses with a significant competitive edge.

Customer Support
August 20, 2024

How Multilingual AI Support Enables Global Growth

Multilingual AI support is essential for businesses aiming for global growth, enhancing customer experience by breaking down language barriers. With advancements in AI technology, companies can deliver efficient, culturally sensitive service while drastically reducing operational costs. Investing in these solutions not only boosts customer satisfaction but also positions businesses as leaders in the competitive global market.

Customer Support
August 19, 2024

Why Retailers Are Turning to AI for Support Solutions

Retailers are increasingly adopting AI for customer support to improve efficiency, reduce operational costs, and enhance customer satisfaction. AI-driven solutions enable personalized interactions and 24/7 availability, keeping pace with consumer expectations. Though implementation challenges exist, the benefits of AI are vital for success in the competitive retail landscape.

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