Overview
Gyst Analytics for Amazon Connect gives contact center teams clear visibility into where voice self-service breaks down and which changes will improve containment, reduce transfers, and lower abandons. It works alongside your existing Amazon Connect environment to surface friction points across caller journeys, prompts, and conversation turns so operators can prioritize fixes based on measurable impact.
The product is designed for teams that need better operational insight into IVR and IVA performance without replacing their current platform. Gyst Analytics provides privacy-safe behavioral analytics that help contact center leaders, platform owners, and technical teams understand where callers hesitate, repeat, fail, transfer, or abandon. This makes it easier to diagnose poor self-service performance, validate optimization opportunities, and track improvement over time.
Gyst Analytics is a practical entry point for organizations that want better visibility before making broader runtime changes. It supports a low-lift deployment approach, fits into existing voice architectures, and helps teams build a data-backed roadmap for improving customer experience and agent-efficiency economics.
Highlights
- Identify the highest-friction points in Amazon Connect voice self-service and see what to fix first.
- Improve containment and reduce unnecessary transfers with analytics tied to real caller behavior.
- Deploy alongside your existing platform with privacy-safe analytics and no rip-and-replace.
Details
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Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/12 months |
|---|---|---|
GA Small | Gyst Analytics deployment for smaller production or evaluation workloads. | $59,500.00 |
GA Medium | Gyst Analytics deployment for standard production workloads. | $109,500.00 |
GA Large | Gyst Analytics deployment for higher-volume production workloads. | $199,500.00 |
Vendor refund policy
Refund requests must be submitted to teamgyst@gysttechnologies.com within 30 days of the applicable charge and must include your AWS account ID, product name, order details, and reason for the request. Except as required by law, refunds are not guaranteed and are issued only at our sole discretion. No refunds are available after contract activation except for verified billing errors or approved service-related exceptions.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Initial AWS Marketplace AMI release for Gyst Analytics. Includes Windows-based GA deployment with browser-accessible reporting and admin configuration. Supports customer-hosted deployment on AWS with GA feature set aligned to current AMI packaging.
Additional details
Usage instructions
Launch the AMI in a supported AWS Region using the recommended instance type or larger. Connect via RDP as Administrator, complete initial instance startup, then access the Gyst Analytics web interface over HTTPS in a browser. Configure customer-specific settings as needed after launch.
Support
Vendor support
Implementation support is provided remotely for deployment, configuration, activation, and initial production setup. Support includes email-based technical assistance for installation, AMI launch issues, configuration questions, report access setup, and runtime troubleshooting during normal business hours. Buyers receive onboarding guidance and product documentation as part of implementation. https://www.gysttechnologies.com/contact
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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