AI Connect Service - Getting Started

At Your Side:

1. Prepare Your Infrastructure

   Ensure your network, compute, and security infrastructure is ready to integrate the AI Connect Service. Confirm that the environment meets prerequisites for hosting your voice applications and connecting to SIP-based services.

2. Set Up Voice Connectivity

   Establish SIP Trunk or SIPRec connections to enable voice stream routing for analysis. Configure your PBX or voice communication system to support these protocols.

3. Integrate with AI Platforms

   Choose your preferred AI platform (e.g., Amazon Transcribe, Amazon Lex, Google Contact Center AI (CCAI) platform or Google Dialogflow). Set up credentials and API keys to allow secure communication between the AI Connect Service and your chosen platform.

4. API and Callback Configuration

   Define your integration endpoints using the provided RESTful APIs. Set up callback URLs to receive real-time event notifications, ensuring they are accessible and can handle high-frequency updates.

Provisioning the Service:

1. Register Your Application with the AI Connect Service

   Use the AI Connect Service's interface or APIs to register your voice application. This step ensures the service is configured to process voice streams and metadata from your specific use case.

2. Set Up Analytics Pipelines

   Configure the desired analytics workflows, such as real-time transcription, sentiment analysis, or intent recognition. Specify the AI models and features required for each use case.

3. Enable Data Storage

   Connect to your cloud or local S3-compatible storage to save transcriptions, logs, and metadata. Assign storage paths for structured data retrieval and compliance tracking.

4. Define Security Policies

   Apply role-based access controls and encryption settings to protect sensitive data. Ensure secure transmission using TLS and enforce IAM policies for API usage.

Testing the Service:

1. Validate Voice Stream Routing

   Perform end-to-end tests to confirm that voice streams are correctly routed through SIP Trunk or SIPRec protocols to the AI Connect Service.

2. Test Real-Time Analytics

   Use sample calls to verify real-time analysis features, such as transcription accuracy, sentiment detection, and intent recognition. Ensure results are processed with minimal latency.

3. API and Callback Testing

   Invoke APIs with test scripts and confirm that callback endpoints receive notifications as expected. Validate response times and error handling for API requests.

4. Check Storage Integration

   Confirm that transcriptions, logs, and metadata are stored in the configured S3-compatible storage. Verify that storage paths match your setup and data is accessible when required.

5. Monitor Logs for Errors

   Review logs from the AI Connect Service for insights into service functionality. Identify and resolve any errors related to call processing, API communication, or data storage.

This setup ensures that your AI Connect Service is fully operational, seamlessly integrated with voice and AI platforms, and ready to provide actionable insights for your communication workflows.