Cascade AI
Cascade Technical Documentation
Version Date: January 24th, 2025
Cascade AI
Version Date: January 24th, 2025
Cascade is a generative AI platform designed to assist with employee support processes and inquiries. It automates routine employee support tasks and provides responses to employee inquiries at an individual level.
Cascade operates as a two-sided product:
Cascade is a cloud-based system hosted on Microsoft Azure. The platform leverages generative AI models from Azure OpenAI and Google Cloud’s Vertex AI to provide responses from inputs from users. As a web application, Cascade is accessible from anywhere with an internet connection. Cloudflare sits in front of all components to ensure robust security and performance.
Since Cascade uses third party systems, Cascade’s functionality and operability depends on availability of the systems listed below:
| Name | Location | Website | Purpose |
| Microsoft Azure | USA | https://azure.microsoft.com/en-us/ | Hosting of the Services |
| Google Cloud | USA | https://cloud.google.com/ | Hosting of the Services |
| Cloudflare | USA | https://www.cloudflare.com/ | Web security for the Services |
| Azure Open AI | USA | https://azure.microsoft.com/en-us/products/ai-services/openai-service/ | Large language model processing |
| Vertex AI | USA | https://cloud.google.com/vertex-ai?hl=en | Large language model processing |
| Finch | USA | https://www.tryfinch.com/ | API provider for HR data integration |
| Fullstory | USA | https://www.fullstory.com | Frontend app analytics and feedback |
| LogRocket | USA | https://logrocket.com | Frontend app analytics and feedback |
| Langsmith | USA | https://www.langsmith.com | Tracing and evaluation for model outputs |
| Sentry | USA | https://www.sentry.io | Error monitoring and performance tracking for applications |
| Elastic | USA | https://www.elastic.co | Search and analytics database and vector database |
Cascade AI is built to integrate with existing HR ecosystems. The current available integrations include :
Single Sign-On (SSO): Enables easy and secure access through integrations with leading identity providers like Okta, Microsoft, and Google.
Cascade does not currently offer APIs for direct integrations. However, we provide users with the capability to export data files from the platform.
Cascade runs automated tests on all features and updates before deploying changes to production.
Includes basic profile information (e.g., name, department, role) and key records regarding benefits, payroll, and other HR processes. Cascade AI uses this data to tailor responses, automate HR tasks, and deliver precise, individualized support.
Consists of user queries, feedback, and usage logs that help optimize Cascade AI’s accuracy and functionality over time.
Cascade ensures data protection by encrypting all data in transit using TLS/SSL and data at rest with industry-standard encryption algorithms.
We implement role-based access control (RBAC) to ensure that users only have access to the data necessary for their roles.
Cascade follows security and privacy best practices aligned with frameworks such as SOC 2 Type 2 and NIST.
Our platform undergoes continuous monitoring to detect anomalies or unauthorized activity. Regular risk assessments and platform testing enable swift identification and mitigation of potential issues.
While Cascade AI is designed to provide a secure, reliable, and efficient platform, there are inherent limitations to be aware of:
For further information, technical support, or to report any issues, please contact us via:
We encourage you to review our Privacy Policy and Terms of Service for additional details on how we handle data and maintain compliance.
Cascade AI
Deploy orchestrated AI agents across HR, IT, and Operations — in weeks, not months.
Get a roadmap for AI transformation across HR and Operations.