Overview
This Guidance demonstrates the integration of Amazon Connect with the SAP
Sales and
Service Clouds using an AWS Cloud Development Kit (AWS CDK) template. This template provides for the deployment of a connector enabling seamless voice integration between the solutions. The integration reduces call handle time and provides agents with insights to deliver personalized service based on the online customer journey derived from Amazon Connect. Additionally, the integration incorporates generative artificial intelligence (AI) capabilities to provide call analytics and call transcript summarization available directly in the customer or account timeline within SAP Sales & Service Clouds. The modular design of this Guidance also provides for additional Amazon Connect features to be enabled with ease in the SAP Sales and Service Clouds environments as required.
How it works
These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.
Deploy with confidence
Ready to deploy? Review the sample code on GitHub for detailed deployment instructions to deploy as-is or customize to fit your needs.
Well-Architected Pillars
The architecture diagram above is an example of a Solution created with Well-Architected best practices in mind. To be fully Well-Architected, you should follow as many Well-Architected best practices as possible.
Disclaimer
The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.
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