Blog Post
How Roche executed a scalable and secure AI strategy
Learn how Roche built an AI companion that helps with daily tasks and an AI assistant that solves problems.
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The unified, agile, enterprise-proven AI development platform
OutSystems is the only AI development platform that empowers teams of any size to build, run, and govern their entire portfolio of AI agents and apps in a single place with the reliability, resiliency, and scalability needed for the enterprise.
The race to AI ROI is on
While 71% of CEOs rank AI as their top investment priority and 92% of companies plan to increase AI spend, 90% of high-value AI use cases remain stuck in pilot mode.
Why? Because enterprise AI is about operationalizing at scale. And while AI is probabilistic by nature, enterprise systems demand predictability, reliability, and governance.
To move from AI ambition to enterprise reality, organizations need more than just the latest models. They need a flexible, proven foundation for governed, high-velocity AI innovation at scale. Only OutSystems provides this, enabling enterprises to go from:
Endless pilots to enterprise agentic systems
No path to scale to governance at scale
Big promises to real outcomes
Event • March 31
OutSystems Launch Event
Join us to see the future of enterprise AI development
Manage the full lifecycle of apps + agents in one platform
From full-stack apps to intelligent agents, OutSystems empowers teams of any size or skill to deliver high-quality AI solutions and experiences. With everything you need in one unified platform, including data, workflows, and APIs, you can quickly and securely deliver apps with AI fully grounded in your context and build AI agents that extend your core processes.
Drive AI innovation with both speed and control
With OutSystems, you get the agility and flexible foundation you need to fuel high-velocity, mission-critical AI innovation at scale. Accelerate time-to-value and iterate exponentially faster using AI-powered visual development, reusable components, and fully integrated DevSecOps. Plus, you can quickly and easily push updates across dev, test, and production with one-click publishing.
Scale mission-critical AI solutions with confidence
With built-in observability, security, and traceability, OutSystems gives you the guardrails and trust you need to confidently build your agentic AI future. Automated code reviews, governance at every step, and real-time observability help you reduce operational risk—so you can standardize delivery and maximize compliance.
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.
OutSystems AI FAQs
OutSystems continues expanding platform maturity across OutSystems AI and broader AI capabilities, including building, deploying, and governing AI-driven experiences in enterprise environments. We are focused on helping you build your agentic future through our unified, agile, enterprise-proven platform, which is trusted by customers in highly regulated industries across the globe for their most mission-critical projects.
AI performance monitoring includes tracking model outputs, execution metrics, token usage, and workflow outcomes. OutSystems also enables AI performance management to provide visibility into cost, latency, accuracy, and reliability. Dashboards and logs help teams evaluate effectiveness, identify drift, and continuously tune models and agents in production environments.
Yes. You can design human-centered AI workflows that require review or approval before certain actions execute. OutSystems supports human-AI collaboration to ensure oversight for high-risk decisions, policy validation, or compliance checkpoints. This approach balances automation with accountability and reduces operational risk in production environments.
Yes. AI solutions can be built using visual drag-and-drop tools that reduce manual programming. The OutSystems AI development platform’s visual environment allows teams to design workflows, integrate models, and enforce governance without extensive coding. This accelerates delivery while maintaining enterprise-grade controls and scalability.
OutSystems' AI development cost is typically tied to executions, capacity, or usage metrics, along with platform subscription levels. Organizations monitor token consumption, runtime environments, and user tiers. This usage-based model supports predictable scaling as AI applications expand across development, testing, and production environments.
AI can wrap and extend legacy systems by exposing APIs, extracting data, and orchestrating workflows without full replacement. This approach supports incremental modernization, allowing organizations to augment COBOL, Lotus Notes, or other legacy environments while gradually evolving architecture.
Yes. OutSystems helps teams receive guidance on evaluating AI use cases based on workflow complexity, data structure, integration requirements, and measurable ROI. Process discovery and architecture discussions help identify high-impact starting points rather than pursuing experimental or low-value automation efforts.
Many AI tools focus on code suggestions. OutSystems alternatives such as Copilot or Cursor enhance developer productivity, but OutSystems combines AI tools with governance, integration, lifecycle management, and deployment control. This positions it as a full AI development platform rather than a coding assistant alone.
