Overview
GenAI Workbench provides a production-ready canvas for Generative AI solutions on AWS, enabling organizations to bypass the common Proof-of-Concept (PoC) phase and build directly in a production environment from day zero. This "Landing Zone" approach dramatically accelerates time-to-value, allowing teams to immediately begin prompt and context engineering.
Instead of projects stalling before deployment, solutions can be launched, tested, and iterated upon quickly, delivering tangible GenAI outcomes and a fast ROI in days or weeks, not months.
Built 100% cloud-native on AWS, the Workbench leverages a 100% serverless architecture for maximum scalability, reliability, and cost-efficiency. It can be deployed via automated templates into a customer’s AWS account in just a few hours. Its modular, plugin-based architecture is highly flexible, addressing a wide variety of use cases with pre-built integrations for conversational interfaces (like Slack and Teams), APIs, automation tools, and common customer data sources.
The platform includes innovative GenAI features such as granular Role-Based Access Control (RBAC) for data and webhooks with Change Data Capture (CDC) for real-time context consistency. It is designed to work with core AWS services, utilizing AWS Lambda, Amazon API Gateway, and Amazon S3, while integrating with foundation models from services like Amazon Bedrock to power its RAG and agentic orchestration. This serverless model ensures a cost-effective, consumption-based pricing structure—where you pay only for what you consume—with a strong bias for Small Language Models (SLMs) to further optimize costs.
Highlights
- Deployed in a few hours into a customer account using automation.
- Serverless architecture ensures you pay only for what you use, and pay nothing when you use nothing.
- Skips the PoC phase altogether for GenAI. So rather than build a PoC and then scope how to get it into production, Workbench projects are built directly in production and skips the PoC phase altogether.
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