Frame AI - AI that listens and predicts everywhere customers talk

Frame AI AI that listens and predicts everywhere customers talk

What is Frame AI?

Frame AI is an enterprise-level platform that specializes in translating unstructured data into meaningful business insights. The platform processes various forms of communication including calls, emails, surveys, and documents, which typically comprise 80% of enterprise data capture, to inform operational and strategic decisions across organizations.

The platform features a STAG architecture that integrates Generative AI assistance directly into existing business systems and workflows. Unlike generic solutions, Frame AI offers customized NLP models, predictive analytics, and engineered prompts tailored to specific business contexts, while maintaining robust security and compliance standards.

Features

Data Unification: Activates and analyzes data from multiple sources using NLP and ML
Real-time Analytics: Monitors and tracks key moments in customer interactions
Custom AI Models: Deploys tuned NLP models specific to business needs
Security Compliance: Maintains data control and security standards
Workflow Integration: Seamlessly integrates with existing business tools
Predictive Intelligence: Forecasts customer needs and behavior patterns
Automated Documentation: Generates and manages compliance documentation
Profile Enhancement: Enriches customer profiles with AI-driven insights

Use Cases

Risk monitoring and compliance management
Customer experience optimization
Marketing campaign optimization
Customer satisfaction prediction
Quality assurance automation
Sales lead qualification
Product feedback analysis
Operational efficiency improvement

FAQs

How does Frame AI handle data security and compliance?

Frame AI maintains data control, security, and compliance through centralized data investment and integrated security frameworks.
Can Frame AI integrate with existing business systems?

Yes, Frame AI's STAG architecture integrates directly into existing platforms and practices, working within established security, data governance, and operational frameworks.