Your quick guide to scaling enterprise AI agents across the business
A data-rich infographic revealing what’s driving agentic AI adoption and where organizations are getting stuck.
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Download NowEnterprise AI agents are transforming how organizations work—automating decisions, streamlining workflows, and unlocking new levels of efficiency. In this infographic, explore how leading enterprises are deploying AI agents at scale and driving measurable business results.
Building the future with enterprise AI agents
As AI adoption accelerates, enterprise AI agents are becoming the cornerstone of digital transformation. They combine real-time reasoning with automation to enhance decision-making, reduce operational complexity, and improve customer experiences. Discover how pairing AI with a low-code development platform gives organizations the speed, flexibility, and governance needed to scale agentic AI securely—turning innovation into tangible results.
You’ll learn:
- Why enterprise AI agents deliver up to 100% ROI expectations
- Top challenges—skills gaps, data risks, and integration struggles—and how to overcome them
- Practical examples of AI agents in IT ops, customer experience, and process automation
- How OutSystems empowers you to build, deploy, and scale trusted agents faster
FAQ: Understanding agentic AI
and enterprise innovation
AI agents are autonomous software programs that are designed to handle business tasks like processing data, responding to customer inquiries, or solving problems. They operate independently of human input, using advanced natural language processing techniques to comprehend user inputs and take action to achieve specific goals. These independent actions are based on a combination of perception, planning, and prediction.
Agentic AI is the technology that builds on generative AI and powers AI agents so they can act autonomously without human oversight. Agentic AI systems ingest vast amounts of data from multiple data sources and third-party applications to independently analyze challenges, develop strategies, and execute tasks.
Traditional AI follows static rules. Generative AI creates content in response to prompts. Agentic AI goes further—it takes action, interacts with systems, and drives outcomes by autonomously managing processes.
Explore the core differences between generative AI and agentic AI
OutSystems Agent Workbench empowers IT to create custom agents that streamline operations, elevate experiences, and grow revenue—all on the AI-powered low-code platform built for enterprise innovation. It centralizes agent development and orchestration, reducing redundancy, increasing oversight, and eliminating AI agent sprawl. With a foundational layer of LLMs and unified access to third-party and custom AI models, Agent Workbench helps you accelerate development, scale AI solutions, and future-proof your AI strategy while maintaining centralized control, faster automation, and stronger compliance across all agentic systems.