Building an agentic app deployer with Amazon Bedrock and AWS Lambda

Many organizations face a backlog of small internal tools that are costly and time-consuming to develop and maintain through traditional pipelines. PDI Technologies addressed this challenge by creating PDI Brew, a platform that allows non-technical staff to describe their tool needs in plain English and automatically provision secure, multi-tenant web applications on AWS.

The core architecture separates the intent capture from the provisioning process. A pluggable planning agent, which can run inside an AI assistant or within Amazon Bedrock, interprets user requests and generates a structured deployment manifest. This manifest is then processed by a provisioning agent implemented as an AWS Lambda function, which classifies the workload, orchestrates resource creation, and manages long-running steps asynchronously.

The platform supports multiple planning paths, including a conversational assistant and a Bedrock model invocation, both emitting the same deployment manifest to ensure consistency. The provisioning process involves creating static or full-stack applications, with security and governance baked in, such as enterprise SSO, scoped IAM roles, and guardrails for AI usage.

This serverless, multi-tenant approach enables rapid, cost-effective deployment of internal tools, with each application isolated and scalable to zero when idle. Observability and auditability are maintained through structured logging, CloudTrail, and CloudWatch, ensuring compliance and operational transparency.

PDI Brew demonstrates how an agentic pattern, combined with AWS serverless primitives, can significantly reduce the time and cost associated with internal tool deployment, empowering non-technical teams and supporting regulated data workloads. The architecture is adaptable, allowing organizations to integrate their preferred AI assistants or models, and provides a blueprint for scalable, governed internal application platforms.