Artificial Intelligence
The Agentic Shift: How AI Is Redefining Enterprise Software FT. Gonçalo Borrêga, VP Product, AI & Appdev At Outsystems
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Overview
How Agentic AI is Redefining Enterprise Software
Enterprise software is at a turning point.
For decades, it has been defined by stability, control, and predictability. These systems were designed to power critical business operations with minimal disruption. Today, with the rapid rise of artificial intelligence, especially Agentic AI, that paradigm is undergoing a major transformation.
In this episode of TechDogs Discover Dialogues, host Nikhil Sonawane, Lead-Media Relations and Partnerships speaks with Gonçalo Borrêga, Vice President of Product for AI & AppDev at OutSystems, to explore how this shift is redefining the way software is built, deployed, and evolved.
From Code To Systems
Gonçalo’s journey mirrors the evolution of the software industry. He began as a developer building enterprise systems across industries such as banking and insurance. Over time, his focus moved toward automation, abstraction, and scalability.
Today, he works at the intersection of AI and enterprise platforms, helping organizations rethink how they build and operate software.
One of the key themes in the conversation is how development itself is changing. AI is lowering the barrier to building software. Code generation is becoming faster and more accessible. However, this does not mean software development is becoming easier. It simply shifts where the complexity exists.
The real challenge is no longer building the first version of a system. The real challenge is evolving that system over time without breaking it.
AI Is Making Speed A Commodity
One of the most important insights from the discussion is that AI is making speed a commodity.
In the past, the ability to build software quickly was a competitive advantage. Today, AI tools allow teams to generate code faster than ever. This changes the dynamics completely.
Organizations now need to focus on deeper capabilities such as:
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Understanding business intent
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Designing scalable architectures
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Ensuring governance and compliance
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Enabling collaboration across teams
Success is no longer defined by speed alone. It is defined by the ability to build the right systems and evolve them effectively.
The Rise Of Systems Thinking
As AI takes over repetitive tasks, the role of developers is evolving. Writing code is becoming a smaller part of the job.
Developers are now expected to think like system designers. They need to break down complex problems into modular components that can be reused and combined.
This approach, often referred to as systems thinking, is essential in an AI-driven world. It allows teams to build flexible, scalable systems that can adapt to changing business needs.
It also brings developers closer to the business side of the organization. Understanding the problem becomes just as important as solving it.
Abstraction And AI Collaboration
The conversation also addresses the role of abstraction, particularly in low-code environments.
Abstraction is often misunderstood as a limitation. In reality, it provides structure, consistency, and scalability. It ensures that systems follow defined patterns and standards.
More importantly, structured systems make it easier for AI to operate. AI models can better understand context, reason at a higher level, and generate more meaningful outputs when working within well-defined architectures.
This creates a powerful synergy between human designers and AI systems.
AI Agents In The Enterprise
Looking ahead, AI agents are expected to become a core part of enterprise ecosystems.
These agents will not only support employees but also interact with customers. For example, AI assistants may help customers choose products, make decisions, or navigate services.
At the same time, organizations will need to manage how these agents operate. This includes defining guardrails, ensuring compliance, and maintaining accountability.
Humans will continue to play a critical role. They will oversee decisions, handle exceptions, and guide the overall direction of systems.
The Human Impact Of AI
AI adoption brings both opportunities and concerns. One of the biggest challenges is addressing workforce anxiety.
Many employees worry about job displacement. However, the conversation highlights a more positive perspective.
AI can act as an enabler. It can automate repetitive tasks and allow individuals to focus on higher-value work. This includes problem solving, innovation, and leadership.
In this sense, AI has the potential to elevate roles rather than replace them.
Leadership In An AI-First World
The discussion also explores leadership principles that are critical in this new environment.
Gonçalo emphasizes two key qualities.
Empathy is about understanding customer needs and organizational challenges. It helps leaders stay connected to real problems.
Grit is about persistence. It is the ability to keep working toward a solution even when faced with setbacks.
Together, these qualities help organizations navigate complexity and drive meaningful outcomes.
Advice For Founders
For founders building enterprise software, the message is clear.
Software has become easier to build, but harder to differentiate. Ideas can be replicated quickly.
The key to success is focusing on outcomes. Customers are not looking for tools. They are looking for solutions that help them achieve their goals.
One common mistake founders make is trying to solve too many problems at once. This leads to a lack of focus and slower progress.
Instead, founders should concentrate on solving one problem exceptionally well.
Final Thoughts
This conversation highlights a fundamental shift in how software is built and used.
AI is not just accelerating development. It is changing the entire landscape of enterprise technology.
The future will belong to organizations that can balance speed with structure, innovation with governance, and automation with human insight.
For those willing to adapt, this is one of the most exciting times to be in software.
About Gonçalo Borrêga
Gonçalo Borrêga is VP Product, AI & AppDev at OutSystems, where he leads innovation across AI, application development, and enterprise platforms. With a background spanning development, architecture, and product leadership, he is at the forefront of shaping AI-driven software ecosystems.
Thu, Apr 9, 2026
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