We attended OutSystems' biggest annual event and came away with a clear message: the platform is no longer just a development tool.
The 2026 edition of ONE Conference was defined by what the company describes as a major shift in enterprise software. The announcements made throughout the event highlight a clear evolution across three key areas: AI agent governance, legacy modernization, and developer productivity.
In this article, we explore the main announcements and what they mean in practical terms for organizations:
Agentic Systems Platform: Without Governance, AI Agents Become a Risk
One of the event’s most significant announcements was the Agentic Systems Platform, OutSystems’ new approach to building, orchestrating, and governing AI agents in enterprise environments.
As organizations move from experimentation to large-scale AI adoption, ensuring that agents operate securely, transparently, and in alignment with business processes and objectives becomes essential. The Agentic Systems Platform was designed to address this challenge by combining innovation with governance and control.
What this means in practice:
- Greater visibility and control over AI agents’ actions and decisions
- Reduced risk when adopting AI in business-critical processes
- Stronger alignment between agents, applications, and business rules
- A safer path from proof of concept to production
Enterprise Context Graph: Agents That Understand Business Context
For AI agents to make relevant decisions, they need to understand the environment in which they operate. This includes applications, data, dependencies, and processes that form part of an organization’s technology ecosystem.
Enterprise Context Graph provides this contextual understanding, enabling agents to operate with greater awareness of the business environment and make more informed decisions.
Key benefits:
- More contextual and consistent decision-making
- Reduced reliance on manual configurations and instructions
- Fewer errors caused by lack of context
- Greater confidence in AI-generated outcomes
Agent Experience: Greater Flexibility for AI Integration
As organizations adopt multiple AI tools, agents, and models, ensuring interoperability between these solutions becomes increasingly important. With Agent Experience, OutSystems introduces a new integration layer that connects external agents to platform services, supporting agent-to-agent communication and compatibility across different AI models.
This capability helps organizations build a more integrated AI ecosystem, reducing the risk of technology silos while maintaining the levels of control, security, and governance required in enterprise environments.
Key benefits:
- Greater flexibility when adopting different AI models and tools
- Simplified integration between agents, applications, and systems
- Reduced dependency on specific technologies
- Improved visibility and control over agent interactions
Expanded AWS Collaboration: Amazon Bedrock, AWS Transform, and Kiro
OutSystems expanded its collaboration with AWS through integrations with Amazon Bedrock, AWS Transform, and Kiro. Together, these capabilities bring Artificial Intelligence, application modernization, and software development closer together, creating a more connected ecosystem for organizations.
While Amazon Bedrock expands access to a range of foundation models, AWS Transform strengthens legacy modernization capabilities, and Kiro introduces new opportunities for AI-assisted development. The result is greater flexibility to accelerate innovation and digital transformation initiatives.
Legacy Modernization with AWS Transform
Application modernization was another major theme of the event, with the launch of Legacy Modernization Services powered by AWS Transform. The solution is designed to support the transformation of legacy systems, including COBOL and Lotus Notes platforms, while preserving existing business logic and creating a solid foundation for modern applications and agentic systems.
Industries such as banking, insurance, and the public sector, where dependence on these technologies remains significant, now have a practical opportunity to accelerate modernization efforts with lower risk and greater operational continuity.
Agentic Enterprise Orchestration: Control and Monitoring for AI Agents
The next generation of Agent Workbench is now being introduced as Agentic Enterprise Orchestration, bringing new capabilities for evaluating, monitoring, and controlling AI agents.
This approach addresses one of the key concerns organizations face when scaling AI: ensuring that agents operate securely, transparently, and in accordance with internal policies.
What this means in practice:
- Greater transparency in AI usage
- Operational control over agents
- Stronger compliance and security
- Centralized management of multiple agents
Self-Hosting and Data Sovereignty
New self-hosting capabilities enable organizations to retain control over their runtime environments and data while still leveraging OutSystems Developer Cloud.
This capability is particularly relevant for industries with strict compliance, security, and data sovereignty requirements.
Benefits:
- Greater control over critical data
- Enhanced regulatory compliance
- Reduced risk of exposing sensitive information
- Increased confidence when deploying AI solutions
Industry Solutions: Banking as the First Use Case
OutSystems announced its first end-to-end Agentic AI solution for the banking sector, focused on the loan origination process. For organizations in highly regulated industries, these solutions offer a dual advantage: faster implementation and built-in industry best practices from day one.
Additional solutions for insurance, manufacturing, and the public sector are also planned.
Next-Gen Mentor: AI Across the Development Lifecycle
The next generation of Mentor deepens the integration of Artificial Intelligence throughout the application development lifecycle, helping teams generate entities, interfaces, and logic more efficiently. The goal is to increase developer productivity by automating lower-value tasks and accelerating application delivery.
Benefits:
- Increased team productivity
- Reduced repetitive work
- Faster application development
- Greater efficiency throughout the development lifecycle
The future of Artificial Intelligence depends on the ability to integrate, govern, and operationalize agents securely across complex environments.
For organizations already using OutSystems — or looking to accelerate their digital transformation — these announcements create new opportunities to modernize systems, improve productivity, and implement AI in a more controlled, secure, and scalable way.
