Report
Navigating Agentic and Generative AI in Software Development
Insights to help you navigate agentic AI and human-agent collaboration.
AI is only as smart as the platform it’s built on
AI is powerful on its own, but only the right platform makes it transformational. At OutSystems, we built our reputation as a low-code pioneer on the principle of no compromises—providing enterprises the speed they need to bring custom, mission-critical solutions to market fast without sacrificing security, scalability, or governance.
By combining this proven low-code foundation with advanced agentic AI and AI-driven development capabilities, the OutSystems platform empowers you to drive enterprise-grade AI adoption with the trust needed to build AI agents and apps and evolve a cohesive ecosystem at scale.
Balancing speed of AI innovation with control
AI has magnified a long-standing challenge: the fundamental trade-off between a custom solution that perfectly fits your business and an off-the-shelf app that compromises on key needs.
While AI can speed up custom development, it also triggered a flood of ungoverned tools. Add to that talent gaps, legacy systems, and imperfect data and it’s no wonder why less than 10% of high-value AI use cases make it beyond the pilot phase.
Pressure to deliver and get ahead
- Identifying impactful AI agent use cases can be tough.
- Keeping pace with emerging AI innovation and competitors is a constant challenge.
- Customers increasingly expect faster, smarter AI experiences.
Team and resource constraints
- AI development talent is limited, costly, and competitive.
- You need to deliver on AI, but your team is already maxed out.
- High-value use cases can’t wait, but tools and time are tight.
Driving outcomes with the right oversight
- It’s not just about doing it fast—you have to do it right.
- Navigating evolving AI risks and regulations is no small task.
- Governance and security bring clarity in uncharted AI territory.
While evolving AI pilots into production success can be challenging, OutSystems provides a proven low-code platform and AI-driven development experience that enables innovation up to 10x faster with the assurance of built-in security, scalability, and governance.
Webinar • October 28, 2025
Agent Workbench Demo:
Create, orchestrate, and govern AI agents
Create perfect-fit, custom apps and AI agents with efficiency
From full-stack apps to intelligent agents, OutSystems empowers teams like yours to deliver up to 10x faster without needing to re-skill or hire new talent. Build AI agents and apps perfectly tailored to your needs with the speed of off-the-shelf software—minus the chaos and costly lock-in.
Drive AI innovation with both speed and security
With security, scalability, and governance baked into the OutSystems platform, you get the guardrails and trust you need to confidently move into the agentic AI world. Eliminate non-deterministic risks and the AI black box with full visibility over AI-driven development and agent behavior.
Simplify your AI strategy with a unified platform
Accelerate time-to-market with powerful AI capabilities, reusable visual components, and full-lifecycle management. With everything you need in one unified, governed platform—including data, workflows, and APIs—you can quickly and securely build, manage, and scale AI agents and apps that work with all of your existing tech. Plus, with one-click publishing, you can instantly deploy and push updates across dev, test, and production with ease.
Patents and research papers
Explore some of our AI patents and research papers, and discover how OutSystems is shaping the future of agentic AI and app development.
Patent: Detecting duplicated code patterns
This patent covers a capability that efficiently detects and highlights repeated code patterns in visual programming languages.
Patent: Resolution suggestions in an app development tool
This patent covers a capability that tracks how users develop applications. If they are unable to proceed, it uses AI to automatically suggest solutions.
Research: Federated learning for predictions
This research explores how different clients can collaborate in training a shared model for predictions without sharing data.
Research: Automated refactoring of unbounded queries
This paper introduces automated refactoring to improve software quality by addressing unbounded query issues.
