A defined job
Choose a bounded task, an accountable process owner and one measure of success.
An AI pilot creates value only when it performs a defined job in a real process—with trusted data, appropriate access, human oversight and cost controls. We identify suitable opportunities and design a credible route into production.
The pressure is not only to prove that AI can perform a task. It is to show that the result can be trusted in live operations—without adding unmanaged risk, cost or another disconnected tool.
Choose a bounded task, an accountable process owner and one measure of success.
Confirm the information, permissions and integrations the agent actually needs.
Set clear approval points for sensitive decisions, low confidence and exceptions.
Test real scenarios; monitor quality, security, actions and running costs.
AI can help complete work across systems. The business still decides what agents are allowed to do and when a person must intervene.
A document, case or service request enters the process.
Extracts, checks, classifies or recommends an action.
Policy, permissions and confidence are checked.
The workflow can continue under defined controls.
An accountable person checks or approves the next step.
Actions recorded · Performance monitored · Business owner accountable
An AI agent performs a defined task. An agentic workflow coordinates agents, people and systems towards a business outcome.
The OutSystems Agentic Systems Platform, including Agent Workbench, enables teams to build, orchestrate, evaluate and govern AI agents within connected enterprise applications and workflows.
Explore OutSystems Agent WorkbenchDecide what is worth automating before deciding how to build it. A successful first release must be safe, useful and measurable.
Agree the task, its value and the business owner.
Verify enterprise data, APIs and dependencies.
Define permissions, guardrails and human review.
Test exceptions, accuracy, security and rollback.
Monitor live results, cost and continuous improvement.
Not every process needs an AI agent. Sometimes workflow automation or an application improvement is the more reliable choice.
Value, architecture, security, data, delivery, AI and cost are addressed from the first decision — not added as a final checkpoint before production.
Agentic capability becomes useful when it is connected to the experience people actually use.
The event application brought together a Neo AI Concierge, AI features, session discovery and networking. The reported measures describe the overall event app experience.
Start with one process, one accountable owner and one meaningful measure. We can assess AI readiness, OutSystems fit, integration, oversight and the next credible delivery step.
Book an AI Readiness Consult