turn every word into an opportunity
take your cx to a new level of precision
Monitor every customer engagement to trigger proactive CX strategies and
reduce operational friction.
stay ahead of risks and escalations
unleash the power of
your customer data
Real-Time
Account Alerts
Stay ahead of CSAT, escalations, churn risks, and product feedback with real-time alerts for every account.
Continuous
Customer Intelligence
Monitor trends and hotspots in streaming customer data to allocate resources for maximum efficiency.
amplify your existing tools and processes
54%
Reduction in escalations
43%
Reduction in resolution time
integrate with your existing data structure.
Unify
Collect and integrate natural language interactions and feedback from various channels to gain a comprehensive view of the customer landscape.
Analyze
Use advanced NLP to assess customer issues, sentiment, and trends, providing actionable insights for proactive management.
Prioritize
Rank issues based on urgency and impact, ensuring that the most critical are addressed promptly to drive efficiency.
Optimize
Continuously refine resource allocation and processes based on insights and feedback, driving improvements in customer experience and operations.
Unify
Consolidate unstructured customer data from various sources to create a single, comprehensive view of user interactions and feedback.
Detect
Identify key patterns, trends, and anomalies within the unified data to uncover hidden product-related insights and emerging issues.
Analyze
Utilize advanced analytics to delve deeper into the detected insights, understanding user behavior and pinpointing opportunities for product enhancement.
Activate
Translate analytical insights into actionable strategies, informing the development roadmap and driving impactful product improvements.
be at the right place at the
right time for every customer
Proactively deliver targeted solutions to stay ahead of customer needs, reduce escalations and resolution time, and increase CX efficiency. Keep track of trends and anomalies to continuously optimize resources.
CONTINUOUS DETECTION
Continuously detect churn risks, cross-sell opportunities, CSAT trends and more to stay ahead of every customer and make cross-functional business cases.
RISKS AND INTERVENTIONS
Trigger targeted interventions to preempt escalations, boost customer satisfaction, and prioritize tickets and issues according to cost and impact.
BUILD A FLEXIBLE AI STRATEGY
Build a flexible AI strategy to enhance customer support, adapt to evolving needs, and deliver exceptional service.
industry
leaders
giving their
data a voice
Frame AI helps the world’s biggest companies stay ahead of risk.
PROACTIVE TOOLS FOR
smarter decisions
Frame AI unifies and analyzes customer interactions, detecting and prioritizing issues swiftly, and optimizing support processes, leading to faster resolutions and higher customer satisfaction.
Consistent, Reliable Customer Insight
Frame AI unifies customer interactions across all channels, providing a consistent and reliable view into the customer experience, enabling aligned, efficient action.
Improve Resolution Efficiency
By analyzing and prioritizing customer issues in real-time, Frame AI ensures timely and effective resolutions, reducing costly escalations and protecting the customer experience.
Increase Operational Effiency
Frame AI automatically categorizes and detects trends, enabling customer teams to quantify the impact of product and service issues and make investments accordingly.
Works how you work
Analyze conversations and enhance customer profiles for deeper customer experience insights
Detect risks and opportunities in real-time to accelerate service and continuously monitor impact
Enrich customer profiles and drive more personalized customer engagement strategies
Monitor chat interactions and enhance customer profiles, leading to more effective and personalized communication
Analyze support interactions to identify trends and provide actionable feedback for improving customer service
Prioritize customer needs and reduce churn risk with continuous analysis of every interaction
Capture risks and opportunities in every chat to ensure proactive and meaningful customer support interactions
Leverage voice and messaging channels to gain deeper insights into customer behavior and predict future support needs
Analyze omnichannel interactions to create a unified customer view and deliver more targeted, data-driven support strategies
Frequently asked
questions
How does Frame AI help with prioritization and resourcing for CX leaders?
Frame AI helps CX leaders prioritize and allocate resources effectively by using Dynamic Cost Attribution to quantify the cost of every issue. By analyzing unstructured data from customer interactions in real-time, Frame AI identifies urgent issues and high-cost areas, enabling leaders to make informed decisions on where to focus their teams’ efforts. This approach ensures that resources are directed to the most impactful areas, optimizing efficiency, reducing resolution time, and minimizing agent effort.
How does Frame AI help reduce escalations?
Frame AI helps reduce escalations by detecting potential issues early and triggering actions based on predicted escalation risk. Utilizing advanced natural language processing (NLP) and machine learning, Frame AI identifies signals of dissatisfaction or frustration in customer interactions. By alerting support teams to these signals, Frame AI enables proactive intervention, addressing problems before they escalate and ensuring quicker resolution, which reduces agent effort and enhances the overall customer experience.
How does Frame AI improve CSAT scores?
Frame AI improves Customer Satisfaction (CSAT) scores by using signals from customer data to predict and enhance interactions. By analyzing customer communications in real-time, Frame AI identifies specific needs, preferences, and potential issues, allowing support teams to tailor their responses and solutions. This personalized and proactive approach leads to higher satisfaction, as customers feel understood and valued, directly boosting CSAT scores. Additionally, by reducing resolution time and agent effort, Frame AI ensures that customers receive timely and efficient support.
How does Frame AI make Support/CX teams more proactive?
Frame AI makes Support/CX teams more proactive by continuously monitoring customer interactions and detecting emerging trends and issues. By leveraging real-time data analysis, Frame AI triggers actions based on predicted CSAT scores, escalation risk, churn risk, and more. This proactive stance enables teams to address potential problems before they become significant, reducing the likelihood of escalations, minimizing resolution time, and enhancing overall customer experience while lowering agent workload.
What can Frame AI detect in unstructured data?
Frame AI detects various signals in unstructured data, including customer sentiment, pain points, emerging trends, and compliance issues. It identifies demographic traits, life events, preferences, and competitor mentions, among other things. Frame AI synthesizes these signals to trigger actions based on predicted outcomes such as CSAT scores, escalation risk, churn risk, and cross-sell opportunities, providing valuable insights that enrich customer profiles, inform strategic decision-making, and streamline support processes to reduce resolution time and agent effort.
How does Frame AI improve agent effort?
Frame AI improves agent effort by providing actionable insights derived from customer interactions. By analyzing real-time data, Frame AI identifies critical signals and triggers actions that streamline the support process. This reduces the time and effort required to identify and address issues, allowing agents to focus on delivering high-quality service. Consequently, agents can work more efficiently and effectively, increasing job satisfaction, faster resolution times, and better customer outcomes.
THE LATEST
Big News: Frame AI Joins Hubspot
By George Davis, CEO & Founder
Can AI Solve the Bad Leads Problem?
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.
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.
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