Call-Emma.ai: CCS AI Solution
Features - Complete Feature List

Call-Emma.ai is a cloud or self-hosted, enterprise-grade call center software addon designed to process call recordings, generate AI-powered insights and analysis, and directly deliver the results into your CCS platform via an API. The solution is scalable in the cloud, highly configurable, multi-tenant ready, and built for usage-based billing.

API AI Insights CCA Audio Recording Containerized Enterprise grade Cloud Agnostic Scalable Multi-Tenant Configurable High Volume Easy to Integrate

We are accepting applications for preferred licensing terms for Call-Emma AI Call Center Solution. Please contact Sales.

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Feature Categories

Generative AI Features

Leverage advanced AI capabilities with customizable prompts and multiple model options.

Integration with Your CCS

Seamlessly integrate with existing call center systems through comprehensive API access.

Deployment

Flexible deployment options for both on-premise and cloud environments with auto-scaling.

Audio Filtering

Advanced AI-powered audio processing for enhanced quality and transcription accuracy.

Speech-to-Text & Privacy

High-accuracy transcription with speaker identification and automatic PII redaction.

Tenant & Usage

Comprehensive tenant management with detailed usage tracking and customizable billing.

Data Storage

Secure, flexible storage options for all your call data and AI-generated insights.


Generative AI Features

Preconfigured GenAI Prompts

Leverage our comprehensive suite of 20+ pre-configured AI prompts, expertly optimized to extract maximum insights from your audio conversations, enabling immediate value generation without the need for custom development.

Customizable GenAI Prompts

Enhance call transcript analysis by applying your own tailored prompts to unlock specialized features, perform targeted assessments, conduct compliance checks, and generate business-specific insights that align with your unique operational requirements.

Select Your AI Model

Choose the AI model that best balances quality and cost for your needs. Run it on your own instance or server, or use external AI services for processing.

AI Agent Ready

Allow Call-Emma to integrate as an AI Agent via MCP server into external AIs like Claude so its full database can be accessed and processed.

Chat with Your Data

Interact with call data through AI-powered chat to generate insights and cross-call statistics across all use cases, with minimal effort.

Integration Features

API Access with Clear Documentation

By providing complete and clear API documentation, call center software developers can more easily integrate the solution into their ecosystem. The API framework used by Emma is FastAPI.

Preconfigured and Ready to Launch

Emma comes with a preconfigured setting, allowing cloud operations engineers to install and run the solution on an instance and launch it within minutes—enabling quick testing and operation, and making it ready for developmental integration via the API.

Integrates with Existing Databases and File Storage Systems

We understand that architects and software managers prefer a unified database and file storage system. Emma takes this into consideration and can integrate with your preferred system after configuration.

Deployment Features

Streamlined Deployment

Accelerate implementation with pre-configured container templates designed for seamless deployment across both on-premise and cloud environments, reducing setup complexity and time-to-value.

On-Premise or Cloud Deployments

Our containerized architecture supports both on-premise and cloud deployment models, providing enterprises with the flexibility to choose the infrastructure that best aligns with their security requirements and operational preferences.

Auto-Scalable Architecture for High Volumes

Scalability is a cornerstone of our enterprise-grade solution. Our containerized architecture, combined with scalable cloud infrastructure, ensures reliable system scaling and comprehensive monitoring capabilities to meet growing business demands.

Cloud-Agnostic Compatibility

The containerized structure can be used for both on-premise and cloud deployments. We recommend deploying it on AWS, Azure, Google Cloud, Oracle, or Alibaba Cloud.

Audio Features

Supports Multiple Audio Formats

Process audio calls in formats such as WAV, MP3, and MP4 for maximum compatibility.

AI-Powered Audio Filtering

Automatically enhances call quality by removing background noise, eliminating distractions, and enhancing voice clarity.

AI Audio Speed Optimization

Automatically adjusts playback speed to reduce transcription errors and improve transcript accuracy.

Stores Cleaned Audio Files

Saves filtered and enhanced audio files for compliance and easier supervisor review.

Speech-to-Text & Privacy Features

Selectable Speech-to-Text AI Models

Choose from multiple AI models to optimize transcription accuracy based on call type, audio quality, or language.

Speaker Identification via Diarization

Automatically distinguishes and labels different speakers in a conversation, enabling clearer transcripts and more accurate analysis.

Removes Personal Information

Automatically detects and redacts sensitive data like names, addresses, and account numbers to support privacy and compliance.

Tenant & Usage Features

Tenant Management and Usage Details

Provides detailed control and visibility over each tenant's configuration, activity, and resource usage for streamlined operations and billing.

Per-Tenant Billing Customization

Enables tailored billing setups for each tenant based on usage, features, or contract terms.

Job Tracking & Server Workload

Monitors job completion and server workloads, enabling proactive scaling and efficient resource management.

Administration

Manage system settings, user roles, tenant configurations, and usage analytics to ensure smooth operation, security, and scalability across the platform.

Data Storage Features

Secure Storage

Choose your preferred storage option to securely store original audio, filtered audio, transcripts, and generative AI results.