OutSystems ONE 2026 Recap: Building the Agentic Enterprise—From Vision to Execution 

Last week in Amsterdam, OutSystems ONE 2026 brought together enterprise architects, engineering leaders, product teams, and AI practitioners around a question many organizations are now actively wrestling with: how do you move faster, scale smarter, and operationalize AI across the enterprise?

For Xebia, this wasn’t just another partner event. It was a moment where our vision of the Agentic Enterprise converged with tangible innovation, shared by customers, partners, and the broader OutSystems ecosystem. 

From Systems of Record to Systems of Action

A defining theme across ONE 2026 was the shift from traditional systems of record toward AI-powered systems of action.

Enterprises are no longer satisfied with documenting workflows; they want systems that:

OutSystems is increasingly positioning itself around this evolution, combining low-code development with AI-native capabilities designed to accelerate intelligent workflow orchestration. 

At Xebia, this aligns directly with how we help organizations design, build, and scale agentic systems: not as standalone copilots, but as governed capabilities embedded into business operations.

Speed alone is no longer a differentiator; intelligence at scale is.

The Rise of the Agentic Enterprise

Many of the conversations we had mirrored what we are already seeing with clients across retail, financial services, manufacturing, and travel. Across keynotes, breakout sessions, and conversations on the floor, one concept kept resurfacing: agentic AI is moving from experimentation to enterprise reality.

At Xebia, we define the Agentic Enterprise as one where:

This is not theoretical—it’s already being operationalized.

Xebia at ONE 2026: Turning Vision into Action

Our presence at ONE 2026 was anchored in a clear proposition:
“Build Autonomous, Scalable AI Systems with Xebia and OutSystems.”

1. Real-World Use Cases, Not Just Concepts

We demonstrated how organizations are moving beyond pilots to production-grade AI implementations, including:

2. Co-Engineering with OutSystems

Our strategic partnership continues to focus on:

3. Conversations That Matter

Leaders we spoke with are now asking sharper, outcome-driven questions:

These conversations reinforce a clear shift; AI is finally starting to land and create real results. 

Spotlight Sessions from Xebia

A key highlight of our presence this year was the strong contribution from Xebia experts, bringing real-world perspectives to the forefront:

Building High-Performing OutSystems Teams Through Continuous Learning

Bryan Minton’s session underscored a critical truth: high-performing teams don’t happen by accident—they are systematically built and continuously evolved.

He introduced a structured training framework that enables developers to progress from foundational OutSystems skills to advanced capabilities across:

What resonated strongly was the emphasis on sustaining engagement through:

The takeaway: continuous learning is not a support function—it’s a strategic enabler of delivery excellence.

When AI Meets Reality: A Production Incident Post-Mortem

Saranraj Sathyamoorthy delivered one of the most candid and practical sessions of the event—breaking down what truly happens when AI systems hit production scale.

The session dissected a real-world incident involving:

More importantly, it highlighted how the system was stabilized through:

The message was powerful:
AI doesn’t fail like traditional systems—and managing it requires a new operational mindset.

1. Agentic AI is a boardroom conversation now. The question has shifted from "should we explore AI agents?" to "how fast can we operationalize them?" Leaders are no longer asking for proof of concept. They're asking for production roadmaps.

2. Governance is the new differentiator. Organizations that will win at agentic AI are the ones building with guardrails from day one—not retrofitting them later. Responsible scaling, observability, and human-in-the-loop design are becoming prerequisites, not afterthoughts.

3. Low-code is the accelerant, not the limitation. A persistent misconception is that low-code constrains enterprise-grade AI. ONE 2026 dismantled that. OutSystems' AI-native capabilities, combined with the right architecture, enable enterprises to move faster while maintaining the control required for regulated industries.

4. Teams are the bottleneck, not technology. Bryan's session echoed what we hear from clients constantly: the biggest constraint on AI adoption isn't tooling—it's team readiness. Continuous, structured enablement that grows with the platform is what separates high-performing delivery organizations from the rest.

5. Production reality is humbling—and solvable. Saranraj's post-mortem was a reminder that shipping AI to production is a different discipline than building it. The organizations getting it right are investing in operational maturity: monitoring, fallback design, cost management, and incident response patterns purpose-built for AI systems.

What Comes Next

ONE 2026 reinforced a strong belief we hold at Xebia:

The next wave of transformation won’t be defined by applications but by autonomous, intelligent systems that act. Our focus moving forward remains clear:

Let’s Continue the Conversation

If we connected in Amsterdam, thank you for the conversations.
If not, we’d welcome the opportunity to explore how you can transition from systems of record to systems of action.