OutSystems: How AI Agents Work and Their Impact on the Workforce
As AI agents enter the enterprise, they’re not just answering questions; they’re making autonomous decisions, analyzing trends, and collaborating with humans.
In the featured video Tiago Azevedo explains how AI agents are transforming the workforce.
Learn the key differences between generative AI and agentic AI, and how agentic systems use multi-agents to analyze data, generate insights, and include humans in the loop for better decision-making.
OutSystems delivers robust solutions for Agentic AI through its low-code platform, primarily via the AI Agent Builder and OutSystems Developer Cloud (ODC).
AI Agent Builder
The AI Agent Builder enables businesses to create and integrate customizable AI agents into applications without requiring extensive coding or AI expertise. This no-code/low-code tool allows users to design agents using a point-and-click interface, supporting large language models (LLMs) from Azure OpenAI and AWS Bedrock.
By leveraging retrieval-augmented generation (RAG), these agents deliver context-aware responses by combining LLMs with enterprise data, ensuring accuracy and personalization.
The platform includes guardrails for security, compliance, and performance monitoring, making AI implementations trustworthy. Pre-built templates for use cases like customer support ticket deflection and sales call summarization accelerate development, while support for custom models and data sources adds flexibility.
Developer Cloud
The OutSystems Developer Cloud enhances agentic AI by enabling orchestration of multiple agents to handle complex tasks. An orchestrator agent coordinates specialized agents, such as those for product record creation or social media drafting, ensuring seamless collaboration.
While parallel agent calling is not yet supported, ODC excels in human-in-the-loop scenarios, ideal for tasks requiring oversight. The platform’s cloud-native architecture ensures scalability, with auto-scaling and load balancing for high-demand applications. Integration with systems like SAP and Salesforce, combined with the Model Context Protocol (MCP), allows agents to connect to diverse data sources, enhancing enterprise workflows.
AI Mentor
OutSystems’ Mentor feature further supports agentic AI by automating software development lifecycle tasks, such as app generation and vulnerability detection, streamlining development. These solutions reduce development time significantly, democratizing AI for businesses.
Real-world applications include automating data entry in marine energy transportation and building order management systems, as shared on X. With its focus on speed, security, and scalability, OutSystems empowers enterprises to deploy agentic AI efficiently, transforming operations across industries.
