The Amazon AI Agent Marketplace: launch, workflows, integrations

The official launch of the platform is scheduled for July 15, 2025, and it will be accessible to all companies.

The debut of Amazon’s AI Agent Marketplace is set for July 15, 2025, during the AWS Summit in New York. This date marks the actual opening of the platform to all companies and interested developers, who will immediately be able to access, explore, and adopt the AI agents offered by the Marketplace. It is therefore an initiative ready to be used by anyone operating on AWS, with no waiting periods or limited early-access phases.

The official announcement and immediate availability send a clear signal of the maturity of the offer: Amazon is aiming for a global launch, ready to meet the needs of businesses in every sector that want to experiment with or integrate AI agents into their digital workflows.

Amazon introduces a platform where you can select and integrate ready-to-use AI agents for business processes.

In July 2025, Amazon Web Services announced the official launch of the AI Agent Marketplace, a solution that radically changes access to artificial intelligence for companies of all sizes. This is not just a catalog of chatbots or models, but a cloud store where you can find AI agents already configured to perform practical tasks, easily integrated into existing business systems, and ready to use in just a few clicks.

This approach is a breakthrough for all those companies that, until now, faced complex and expensive AI projects to develop internally. Now, even less structured organizations can access cutting-edge technologies without needing to develop code or invest in data science teams: the selection and configuration of agents is reduced to a simple guided procedure, bringing AI from the experimental level directly to daily adoption.

AI agents can now perform real actions and automate workflows directly within the AWS environment.

These new AI agents don’t just answer questions; they can perform real actions on the company’s cloud infrastructure. Using the Amazon Bedrock Agents platform, agents have direct access to AWS services such as Lambda, S3, Step Functions, and DynamoDB, and are able to initiate automatic processes, manage data, perform backups, create users, or launch complex workflows. All this happens through existing AWS authorizations and APIs, ensuring both security and scalability for internal automation.

This operational capability, based on permissions and native integrations, enables levels of automation that previously required months of software development. The AI agent can be instructed to monitor activities, make decisions independently, and solve recurring tasks without human intervention, freeing up valuable time for internal teams and increasing efficiency in every business area, from IT management to operations to customer support.

It is now possible to connect AI agents to external services and orchestrate processes beyond Amazon’s cloud.

One of the main innovations of the Marketplace is the ability to integrate agents with external systems and APIs. Agents can interact with third-party software, CRMs, company databases, SaaS services, or proprietary applications, simply by configuring endpoints and actions through the AWS console. In practice, the agent can plan and manage operations that involve data and processes even outside the Amazon ecosystem, becoming a real bridge between different environments.

This openness to the outside makes the Marketplace an extremely flexible and scalable tool: a company can build intelligent workflows that integrate the power of AI with all the digital tools already in use, optimizing procedures, speeding up responses, and ensuring operational consistency between different systems. In an increasingly heterogeneous digital landscape, the ability to orchestrate cross-platform processes is a fundamental resource for competitiveness.

Companies can now upload their own documents and files to enable AI agents to work with personalized data.

The platform offers the ability to upload and use business files, such as documents, reports, presentations, Excel sheets, PDFs, or audio, by uploading them to S3 or through Bedrock. A system called Bedrock Data Automation converts these files into a private knowledge base, which agents can consult through semantic search. In this way, agents become capable of responding accurately using the company’s specific information and data, generating summaries, extractions, presentations, or personalized answers based on the uploaded files.

The use of personalized knowledge bases marks a turning point for the quality of responses and automated actions: it’s no longer a matter of relying on generic data, but of creating real “digital company brains,” updated and built on the most relevant sources for each organization. This paves the way for faster decision-making processes, automated reporting, and personalized assistance, with a significant reduction in errors and time spent searching for information.

Agent configuration and the user experience are designed to be fast and accessible even without advanced skills.

The process of adopting agents from the Marketplace has been designed to be simple and guided: you just need to choose the desired agent, configure AWS permissions, and, if necessary, add links to external services or upload your own files. From that moment, the agent is active and ready to operate, both via chat and through API, integrating directly into business workflows and delivering concrete results and automated actions without the need to write code.

This setup allows every company to approach the world of artificial intelligence without fears or technical barriers: the learning curve is minimal, the risk of errors drops drastically, and the return on investment can already be measured after a few weeks of use, thanks to the direct impact on productivity and operational efficiency.

The technical specifications of the Marketplace show how Amazon ensures security, scalability, and intelligent orchestration of agents.

Behind the intuitive Marketplace interface lies an architecture that combines AWS core services with components optimized for the agent paradigm. Each agent is distributed on serverless endpoints built on AWS Lambda or on Fargate containers for heavier loads, leveraging instant auto-scaling and edge-level load balancing via Amazon CloudFront. Secure communication with internal and external services is managed by API Gateway, which signs every call with SigV4 and applies granular IAM policies. Data uploaded by users is encrypted at rest with dedicated KMS-CMKs and in transit via TLS 1.3, while the vector search component relies on OpenSearch Serverless or Vector Engine for Aurora depending on the volume of embeddings. The agents’ reasoning engine interacts with models hosted on Bedrock Inference, dynamically selecting model size and deployment region to reduce latency and costs. Logs of every invocation, including external actions and internal tool outputs, are tracked in CloudWatch and archived long-term on S3 Glacier for audit and compliance. Thanks to this design, the ecosystem is able to maintain response times below 300 ms for transactional agents and scale effortlessly to thousands of parallel requests, while also providing complete tracking of the life cycle of every single action—an essential requirement for regulated sectors like finance, healthcare, or public administration.

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