Frame AI

Thrilled to see HubSpot CEO Yamini Rangan lead the AI transformation of #SmartCRMs by unlocking the power of unstructured data to drive smarter customer engagement. HubSpot is the industry leader because they make it simple for businesses to #growbetter through personalized, consistent interactions that build trust and drive lasting relationships. We're proud to join forces to bring conversational intelligence into this ecosystem. Empowering brands to leverage the deep insight in customer conversations has been the Frame AI mission since Day 1, and we couldn’t ask for a better partner than HubSpot to continue this journey. #AI #FrameAI #Hubspot https://lnkd.in/e27YJKwC

Today marks a major milestone for Frame AI: we’ve signed an agreement to join HubSpot. We're so proud to take the next step in helping businesses better understand and connect with their customers. At Frame AI, our mission has always been to make AI a tool that enables businesses to truly listen to their customers—not as isolated data points, but as whole relationships. HubSpot shares that vision, offering a platform that unifies customer data across every touchpoint in the journey. Together, we’re thrilled to accelerate the development of proactive intelligence for HubSpot’s Smart CRM, empowering marketing, sales, and service teams with richer, real-time insights. By combining structured and unstructured data, we’re enabling businesses to transform every interaction into an opportunity to deliver value, build trust, and grow better. To our customers: thank you for trusting us to solve your toughest challenges. To HubSpot: we’re excited to join you on this journey. And to everyone else: stay tuned—this is just the beginning. Here’s to a future where customer understanding is sharper, actions are smarter, and every connection drives growth. https://lnkd.in/epE6CqNx #FrameAI #HubSpot #AI #CustomerExperience #GrowthBetter

Many revenue teams struggle with a version of the same problem: they're data rich, but insight poor. When sales receives #MQLs, lists often feel “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. Traditional lead-scoring methods rely on surface-level metrics like page views or email opens. These are easy to track but fail to capture the nuances of customer intent. Key signals—like a casual mention of team growth or an upcoming product launch—are often buried in conversations, outside the reach of structured #CRM data. #Marketing teams collect vast amounts of information but often lack the tools to interpret it in ways that are meaningful to sales. The result is a disconnection: marketing delivers leads they believe are qualified, while sales struggles to act on them due to a lack of actionable context. By processing unstructured data—emails, chats, and calls— #AI can identify patterns and signals that reveal what customers need, where they are in their decision-making process, and how ready they are to act. These insights transform raw interactions into a richer understanding of customer priorities, giving sales teams the clarity they need to focus on the right opportunities while allowing marketing to deliver leads that reflect genuine potential. It’s not about more data; it’s about better context. Check out our latest: https://lnkd.in/gibMmCpi #FrameAI #martech

We’re honored to share that #FrameAI has been named one of Twilio’s 2024 AI Startup Searchlight Award honorees. Out of more than 500 applicants, Frame AI was selected for our work delivering real-time insights from every customer conversation to drive smarter decisions, improve operational efficiency, and elevate customer experiences. This recognition reflects our commitment to transforming how organizations act on customer communication with the team at #TwilioFlex. We're proud to be working with the industry leader in customer engagement to help businesses focus on what matters most—making exceptional service simple for teams and consistently impactful for customers. Congrats to everyone else on this great list! https://lnkd.in/e4D3dc_2

#CRM systems are making major strides to drive smarter, faster, and more actionable insights directly into the hands of revenue teams. One of the biggest changes driven by #AI is the ability to integrate data from different systems, enabling #sales and #marketing teams to act on more accurate understandings of customer needs and opportunities. Per McKinsey & Company's recent global survey on marketing operating models: Marketing-led growth relies on data to ensure that strategic choices are fact based and rooted in a deep understanding of the consumer. However, many marketers still struggle with fully leveraging analytics and insights to drive decision making. In fact, 64 percent of respondents say they make marketing decisions that aren’t primarily influenced by analytics. This gap in data-based decision making has three root causes: the lack of a clear and competitive data strategy to identify the right level of insight, capability and tech gaps preventing the use of real-time data, and gaps in consumer understanding and data availability. By embedding #analytics at the core, AI-powered CRMs shift teams from reactive decision-making to proactive, insight-led #growth. For revenue teams, this means the ability to not only anticipate customer needs but also act in real-time, turning strategic goals into measurable outcomes. Check out our latest: https://lnkd.in/d6UrK6eN #FrameAI

Small and midsized banks, once valued for their close community ties, now struggle to compete as national brands dominate digital banking with robust mobile apps and 24/7 services. With major banks investing billions in #AI to deliver hyper-personalized recommendations and faster customer support, smaller institutions are under increasing pressure to meet rising expectations. However, AI also provides an opportunity for these banks to regain their edge in #personalized service. By outsourcing AI capabilities through cloud banking providers, they can use #firstpartydata to drive proactive engagement strategies, streamline onboarding, and refocus resources on building deep, high-touch relationships that drive #LTV. More from Frame AI CEO George Davis in Forbes: https://lnkd.in/eHrrrqfU #fintech #CX #genAI #RAG #STAG #martech #bsfi

As consumer options proliferate for everything from running shoes to mortgages, #CAC continues to rise and #brandloyalty gets harder and harder for companies to maintain. To ensure consistent, personalized experiences, orgs are moving #Sales and #Marketing closer together to build unified systems for customer engagement. AI’s ability to synthesize customer intelligence across systems is accelerating the consolidation of revenue teams. #AI empowers teams to act on real-time insights and coordinate strategies to improve both #acquisition and #retention. McKinsey & Company reports that companies aligning sales and marketing see up to 20% annual growth. Key functionalities of the latest generation of revenue tooling includes: ⏳ Real-Time Intelligence ⏳: Customer intelligence synthesized from structured and unstructured data across teams and channels allows sales and marketing to act quickly on high-intent signals, maximizing the impact of each engagement. 🎱 Predictive Insights from Unstructured Data 🎱: Advanced #NLP models continuously detect key traits and life events in #firstparty data to identify high-value opportunities, reduce acquisition costs and increase win rates. 🎯 Hyper-Targeted Engagement 🎯: With an always-on customer intelligence pipeline, revenue teams are orders of magnitude closer to the holy grail of "what they need, when they need it." Don't sleep on this one: https://lnkd.in/eVCZ94EU #FrameAI #STAG #RAG #CustomerIntelligence #IntelligentApplications

CX leaders are figuring out how to leverage AI to transform core parts of their operations beyond chatbot-style automation. Frame AI CEO George Davis recently joined experts from J.P. Morgan and Loris at #ArthurAIFest to weigh in on build vs. buy, what it means to “tailor AI” to specific business needs, and how to avoid the uncanny valley between a demo and a production system. Check out a summary of George’s insights below and stay tuned for more! https://lnkd.in/dxfrMKeb #FrameAI #CX #RAG #STAG #UnstructuredData

The idea that “closed” and “open” projects are incompatible is outdated. Most organizations benefit from both under different circumstances. Frame AI CEO George Davis dropping knowledge in Forbes about leveraging #OpenSource for enterprise #AI investment: https://lnkd.in/g5SFwFsw #FrameAI #TechLeadership #Fintech #CX #Martech

Traditional Quality Assurance (#QA) processes, which rely on manual evaluations of customer interactions, need to be more sustainable for larger operations. #AI offers a logical solution, providing the opportunity to automate and enhance QA processes that far outpace manual methods. Automated QA (#AQA) uses AI and Natural Language Processing (#NLP) to analyze 100% of customer interactions—calls, chats, emails—in real-time. Instead of requiring managers to sift through each interaction, AI can pre-fill QA rubrics by identifying key elements like tone, compliance, and procedure adherence. This allows businesses to scale without compromising quality or increasing managerial overhead. AQA isn’t just about saving time—it ensures more consistent evaluations, actionable insights, and real-time feedback. By integrating AI, contact centers can enhance operational efficiency while improving the quality of customer interactions, paving the way for a more scalable, effective support system. Read more here https://lnkd.in/giXcWk_w #AI #CustomerService #ContactCenters #Automation #QualityAssurance #CX #AIInBusiness #Scalability #FrameAI #STAG #AQA