Big News: Frame AI Joins Hubspot
By George Davis, CEO & Founder
By George Davis, CEO & Founder
Traditional lead-scoring methods rely on surface-level data, creating a disconnect between sales and marketing.
When sales receives an undifferentiated list of leads, it often feels “low quality,” even though there may be valuable opportunities hidden within. The problem isn’t the leads themselves—it’s the inability to discern which ones truly matter.
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.
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.
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.
Our eng journey from building a framework for exploring conversational AI products to a rapid adaptation of our architecture self-installed product.