Building the Future with Agentic AI and OutSystems
Artificial Intelligence is evolving rapidly, and the next leap is not just about generating text or images. The next big leap is Agentic AI—autonomous systems that can reason, plan, and act independently to deliver end-to-end business outcomes.
For organizations across industries, this represents both a challenge and a massive opportunity!
93% of IT leaders plan to integrate AI agents into their software development lifecycle. However, most pilots fail to scale—95% of generative AI experiments never reach real business value.
The difference between success and failure often comes down to having the right tools (governance, integration and data challenges) and the right team (identifying real business value and specialised talent).
Why Agentic AI Matters for Businesses
When implemented with the right platform, Agentic AI goes far beyond traditional chatbots, it can:
✓ Automate repetitive IT processes such as audits, database query optimization, or log analysis.
✓ Accelerate application modernization without costly manual rework.
✓ Deliver personalized customer experiences with context-aware AI interactions.
✓ Boost productivity by allowing teams to focus on strategy while AI handles execution.
OutSystems: The Right Platform for Agentic AI
✓ OutSystems has introduced Agent Workbench , a low-code toolset that makes it possible to:
✓ Build and orchestrate custom AI agents securely.
✓ Integrate AI into existing systems without silos or sprawl.
✓ Ensure governance, compliance, and observability at scale.
✓ Support seamless human + AI collaboration in enterprise workflows.
✅ Our Providit team is fully up to speed with the new features AI Workbench brings and is ready to help you in finding greater value and speed up the use of AI Agents.
Addressing the
Real Challenges
While the potential of Agentic AI is exciting, it’s crucial to approach it critically. Not every AI initiative delivers value—many fall into the trap of “AI for AI’s sake,” where organizations deploy agents for flashy demos or tasks that could be handled more efficiently (and cost-effectively) with traditional coding. For instance, simple data queries or rule-based automations often don’t justify the added complexity, token costs, or latency of AI models.
Real-world impact is already visible across industries
✓ Petrobras reduced audit research time by 90% using OutSystems-powered AI agents.
✓ UCLA Anderson School of Management deployed AI assistants to help MBA students complete projects.
✓ Thermo Fisher Scientific built intelligent agents to resolve customer escalations faster.
✓ Vopak automated database performance monitoring with agentic AI.
✓ Axos Bank achieved 60% faster development with 85% fewer bugs by combining OutSystems and AI.
✅ These results prove that agentic AI solutions built on OutSystems deliver measurable ROI.
Beyond AI Hype to Practical, Secure Implementation
The key is to evaluate each use case rigorously: Does the agent truly need to reason and adapt in real-time, or is a scripted solution sufficient?
At Providit, we start every project with a “value-first audit” to identify high-impact opportunities—such as Petrobras’ audit automation, where AI’s pattern recognition slashed manual effort by 90%—while avoiding low-ROI experiments.
Data trust is another valid concern, especially when exposing critical company information to external AI providers or third-party integrations.
Breaches here aren’t just financial risks; they erode stakeholder confidence and invite regulatory scrutiny. A good approach to tackle these issues involves layered safeguards.
