Forbes: Can Small and Mid-Size Banks Survive AI?

Forbes: Can Small and Mid-Size Banks Survive AI?

In today’s consumer banking landscape, small- and mid-sized banks, once valued for local relationships, are facing new challenges as customers prioritize digital convenience. With major banks investing billions in AI to enhance personalization and efficiency, smaller institutions are feeling the pressure to keep up. AI presents an opportunity for these banks to restore and amplify their hallmark of personalized service. By outsourcing AI capabilities through cloud banking providers, these banks can improve customer experience, automate routine inquiries, and focus resources on meaningful customer connections. This strategic blend of technology and human touch can help smaller banks regain a competitive edge in a crowded market.

How AI is Accelerating the Hybridization of Sales and Marketing

How AI is Accelerating the Hybridization of Sales and Marketing

Customers no longer follow a linear path from marketing outreach to sales conversion. The fragmentation of the customer journey has created a critical business problem: ensuring a seamless and personalized experience across all touchpoints. To compete on engagement, companies have begun collapsing the traditional boundaries between sales and marketing. AI is accelerating this shift by synthesizing new data from various channels and enabling more precise targeting that aligns sales and marketing efforts around customer needs.

What Else Can AI Do For CX?

What Else Can AI Do For CX?

CX leaders are figuring out how to leverage AI to transform core parts of their operations. Frame AI CEO George Davis recently joined a panel at Arthur AI Fest to weigh in on where to find impact beyond chatbot-style automation. Thinking about build vs.buy? What it means to “tailor AI” to specific business needs? Check out a summary of George’s insights below and stay tuned for Part 2.

Powering the Middle with AI

Powering the Middle with AI

Middle managers are crucial to organizational success but often spend a significant amount of time on administrative tasks, which limits their ability to focus on leadership and strategy. AI can alleviate these burdens by automating repetitive tasks and providing real-time insights, enabling managers to concentrate on higher-level responsibilities. Technologies like Frame AI’s STAG architecture go further by continuously analyzing data, proactively identifying risks, and offering performance feedback, which allows managers to take timely action. By empowering middle managers with advanced AI tools, organizations can enhance leadership, team performance, and overall operational success.

What is Deep Personalization?

What is Deep Personalization?

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.

Deep Dive: Automated QA

Deep Dive: Automated QA

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.

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