OutSystems, together with AWS, announces new AI capabilities to help organizations modernize legacy systems, orchestrate AI agents, and ensure governance.
OutSystems and Amazon Web Services are strengthening their partnership with a series of announcements focused on the adoption and management of agentic systems within enterprises. The new solutions address challenges such as AI model fragmentation, technical debt from outdated systems, and maintaining control over development processes.
New Solutions
The integration of Kiro, AWS Transform, and Amazon Bedrock with OutSystems is designed to offer organizations flexibility for their AI deployment. Kiro is being natively integrated as an Agentic Development Environment, allowing developers to build and manage agents and applications directly within their familiar environment. This integration is available starting today as a private preview for selected customers.
Legacy Modernization Services, powered by AWS Transform, focuses on translating outdated platforms such as COBOL and Lotus Notes into modern agentic systems. This is intended to accelerate the reduction of technical debt and provides an automated migration environment. The preview of this service is available immediately, with expanded integration capabilities coming in the third quarter.
Agentic Enterprise Orchestration, supported by Amazon Bedrock and the OutSystems Enterprise Context Graph, enables organizations to design and manage a flexible team of AI agents. The functionality offers built-in governance, semantic search capabilities, and advanced evaluation tools. This is generally available to existing customers starting today.
Open Platform
OutSystems’ new Agentic Systems Platform prevents dependency on a single AI provider by introducing an open and neutral ecosystem. The distributed architecture and self-hosting options give organizations the ability to orchestrate AI workloads in locations that meet their digital sovereignty requirements. European cloud providers will be added in a subsequent phase.
With the introduction of the Agent Experience, enterprise developers gain access to A2A and MCP tools for building, orchestrating, and managing AI agents. These features are designed to ensure compliance and control, especially as AI markets rapidly evolve and fragment.