Aicomply.ai offers automated auditing solutions to help organizations navigate the complex landscape of AI compliance. Our platform is designed for seamless assessment of AI products against existing and forthcoming regulations. By leveraging advanced AI technologies, we ensure that your systems are not only compliant, but also uphold ethical standards and foster trust. This forward-thinking approach enables businesses to minimize risk and enhance accountability, ultimately paving the way for sustainable AI practices.

The AWS Bedrock Multi-Agent Blueprint provides a modular framework to implement a multi-agent architecture on AWS Bedrock. It includes sample code for defining agent roles—planner, researcher, executor, and evaluator—that collaborate through shared message queues. Each agent can invoke different Bedrock models with custom prompts and pass intermediate outputs to subsequent agents. Built-in CloudWatch logging, error handling patterns, and support for synchronous or asynchronous execution demonstrate how to manage model selection, batch tasks, and end-to-end orchestration. Developers clone the repo, configure AWS IAM roles and Bedrock endpoints, then deploy via CloudFormation or CDK. The open-source design encourages extending roles, scaling agents across tasks, and integrating with S3, Lambda, and Step Functions.