Enegel.ai Virtual Agent is a next generation chatbot designed from the bottom up to leverage the most advanced Generative AI technology to outperform your digital customer service agents.
Yesterday's landmark announcement from OpenAI has resoundingly confirmed that Generative AI is set to become better, faster, cheaper, and the pace of change is going to be fast. Businesses that haven't yet implemented a Generative AI strategy may find themselves at a disadvantage as competitors are likely to have embraced this innovation.
At Enegel.ai, we believe AI has potential to elevate Customer Experience for both consumers and CX professionals; however, there are valid concerns about data privacy and ethical AI practices. Enegel.ai leads in this aspect by prioritizing responsible AI usage. We firmly believe that trust is the cornerstone of any customer relationship, and this extends to how customer data is handled.
With Conversational Intelligence product Enegel.ai takes on one of the more expensive and monotonous back-office tasks in a contact center operation: quality and performance management. We’ve developed a software product that can analyze customer service conversations and produce personalized performance reports that are superior to those produced by quality management staff.
In the AI industry, there has been growing chatter about a relatively new role - the 'Prompt Engineer.' The buzz around this profession is not without reason. Astonishingly high compensation packages associated with this role, ranging from $170,000 to as high as $360,000, have piqued interest among industry enthusiasts. But is this a sustainable trend, or merely an ephemeral surge? A recent [Harvard Business Review post] (https://hbr.org/2023/06/ai-prompt-engineering-isnt-the-future) provides insights that closely align with our observations.
The advent of artificial intelligence has left an indelible imprint on a host of industries, and contact centers are at the forefront of this transformative wave. A key instrument in this shift has been the emergence of AI chatbots. As we witness the evolution of these digital assistants from rule-based bots to their contemporary generative AI versions, it has ignited a debate about the role of humans in the future of contact centers. Can these advanced chatbots, with their myriad capabilities, render human agents redundant? Let's unravel this narrative.
The customer service industry has witnessed a dramatic transformation brought about by automation. Initially propelled by web and voice self-service options, it has now ascended to a more advanced level: AI-driven chatbots. This evolutionary journey, though groundbreaking, presents its own unique challenges. In this blog post, we explore the progression of customer service automation, the innovative potential of generative AI in chatbot technology, and strategies to manage associated risks such as hallucination.
Contact center operations are continually evolving, and Generative AI is now leading the charge. This innovative technology provides a powerful new way to evaluate performance, with the ability to accurately measure key performance indicators (KPIs) through in-depth analysis of customer and agent interactions. From significant cost savings to enhanced coverage and the ability to create custom KPIs, generative AI is revolutionizing how contact centers assess and optimize their performance.
In today's fast-paced digital landscape, generative AI chatbots have emerged as critical tools, reshaping business-consumer interactions, providing 24/7 services, and delivering personalized user experiences. Their effectiveness, reliability, and adaptability, however, are significantly determined by the depth of their testing process. This blog post explores why testing these AI chatbots is paramount and elaborates on the detailed testing procedure.
The customer experience (CX) is important for businesses to succeed in today's digital world. A positive CX can lead to increased customer satisfaction and loyalty, while a poor CX can harm a business's reputation and financial performance. To ensure that services can handle expected and unexpected levels of traffic and interactions, businesses can use AI-powered CX testing to simulate real-world scenarios and user behaviors. This can provide insights into the performance and scalability of a service. Challenges that can impact CX include traffic peaks, the ability of a service to autoscale, and updates to a service. CX testing provided by Enegel can help businesses improve CX and avoid damaging their reputation.
Artificial Intelligence (AI) has undoubtedly moved from the realm of science fiction to a business reality. As companies across various sectors begin to realize the transformative potential of AI, early adoption becomes an imperative to stay competitive. This blog post underscores the urgency of initiating an AI pilot program to keep pace with, or potentially surpass, your competitors in the race to digital evolution.
