by FRAME AI | Sep 11, 2024 | GenAI
Personalization has evolved from basic demographic targeting to more complex, individualized experiences, thanks to the rise of AI. Early personalization was limited by structured data, offering shallow insights into customer behavior. However, AI now enables businesses to tap into unstructured data, such as customer interactions and feedback, allowing for deeper, more context-driven personalization. With AI’s ability to understand customer intent and emotions in real time, brands can deliver highly relevant, proactive engagement that enhances customer experiences and builds long-term loyalty.
by FRAME AI | Sep 10, 2024 | GenAI
AI-driven Automated Quality Assurance (AQA) is revolutionizing the traditional QA process in customer service by making evaluations more efficient and consistent. Traditionally, managers manually reviewed a small percentage of interactions based on rubrics measuring accuracy, empathy, and adherence to procedures, which was time-consuming and left room for inconsistencies. AQA automates much of this process by using AI to analyze entire conversations, pre-fill rubrics, and provide real-time insights into agent performance. This allows managers to focus on high-level feedback, improving scalability and ensuring more comprehensive and accurate evaluations across a larger number of customer interactions.
by FRAME AI | Sep 3, 2024 | GenAI
The ROI reckoning for generative AI (GenAI) is here, and many companies find themselves in a tricky spot. While 65% of businesses now use GenAI, proving its value is challenging. Early experimentation with chatbots and digital assistants often prioritized quick wins over strategic goals, complicating the ROI picture. Yet, this experimentation is part of the journey. As businesses shift from isolated applications to system-wide integrations, the real promise of AI begins to emerge. By leveraging insights from early tools and embracing more advanced AI architectures like STAG, companies can transform workflows and start generating the actual returns they’ve been seeking. Read more from our CEO George Davis on Forbes.
by FRAME AI | Aug 12, 2024 | GenAI
As traditional banks strive to compete, they are increasingly investing in AI and machine learning to not only enhance digital banking features but also transform customer experience. By leveraging architectures like STAG (Stream-Trigger Augmented Generation), banks can understand and anticipate customer needs with unprecedented accuracy, offering personalized, real-time services that go beyond mere usability.
by FRAME AI | Aug 12, 2024 | GenAI
Max highlights the importance of leveraging unstructured customer data—such as calls, emails, and chats—to uncover actionable opportunities that can drive automation and efficiency across organizations. He also touches on the challenges of scaling AI with data to answer the industry’s pressing $600 billion question and shares how AI is poised to transform industries like banking and healthcare.
by FRAME AI | Jul 25, 2024 | GenAI
In today’s regulated digital landscape, marketers rely on first-party and zero-party data to navigate personalization challenges. Zero-party data, directly provided by consumers, offers accurate insights that help create relevant and welcome interactions. Advanced AI technologies like STAG enable efficient processing of this data, fostering better customer experiences and increased LTV.
