OutSystems's vision on Agentic AI

For years, companies have relied on traditional automation: RPA bots that follow precise scripts, chatbots limited to a handful of scenarios, or macros that move data from one spreadsheet to another.
Useful—but limited.

Agentic AI, as described by OutSystems, takes things to the next level:

• It understands an objective instead of simply executing rules.
• It plans the different steps required to achieve it.
• It acts by selecting and using the right tools, APIs, software, or databases.
• It self-corrects when it detects an error or a blockage.

We are moving from a world where machines are “programmed to obey” to one where they can reason and adapt their strategy.

OutSystems is clear: Agentic AI is not a gadget.
It plays a highly strategic role in the evolution of organizations. Here are some areas where its impact is already being felt:

• Customer service: instead of a bot limited to predefined answers, an agent can understand a customer’s request, analyze their history, interact with a CRM, and propose a complete solution.
• IT and operations: automatic incident diagnosis, configuration fixes, security or performance testing, with human supervision when needed.
• Finance & logistics: automation of invoice management, inventory optimization, real-time tracking of financial or material flows.
• Human resources: automation of CV screening, onboarding organization, payroll management, and contractual documents.
• Healthcare: assistants capable of handling administrative tasks, freeing up time for doctors and caregivers.

What Agentic AI promises according to OutSystems: more speed, more productivity, lower costs, greater reliability—without necessarily increasing team size.

However, OutSystems does not sell a dream without safeguards.
They emphasize the unavoidable challenges posed by this new generation of AI:

• Trust: avoiding hallucinations, controlling decision quality, and establishing clear accountability frameworks.
• Governance: ensuring human oversight, defining escalation and validation rules.
• Security & compliance: integrating AI into processes while respecting regulations, especially in sensitive sectors (finance, healthcare, insurance).
• Technical integration: connecting these new agents with existing systems (including legacy systems) without creating additional silos.

For OutSystems, AI must not only be intelligent—it must be reliable, traceable, and controlled.

OutSystems recommends that companies avoid aiming too big, too fast.
Their approach is deliberately incremental:

• Identify a clear, well-defined, high-impact process.
• Deploy a pilot in a controlled environment, with supervision and performance measurement.
• Learn, adjust, correct.
• Gradually expand to more complex or critical use cases.

This iterative method helps build internal trust and ensures that Agentic AI becomes a reliable partner within the organization.

What sets OutSystems apart is its Low-Code platform.
Their vision is simple: for companies to truly benefit from Agentic AI, they need a framework where:

• Agents are easy to build and deploy.
• Integrations (APIs, systems, databases) are quick to connect.
• Supervision is embedded from the design phase.
• Security and compliance are guaranteed.

By combining Low-Code and Agentic AI, OutSystems aims to empower organizations to create autonomous agents without relying solely on highly specialized technical teams.

Agentic AI is not a passing trend.
It is the next logical step after Low-Code.

An AI that does not merely respond, but acts, plans, collaborates, and delivers value at the core of business processes.

It marks the transition from a world where AI is a “passive assistant” to one where it becomes an active and reliable collaborator.