Agentic AI
Put AI to work today.
What is Agentic AI?
AI that acts on its own
Agentic AI refers to systems that pursue a goal independently. They make plans, take decisions and carry out actions. They adapt to new information and work proactively. You don’t have to give them instructions at every turn.
More than a chatbot
Classic AI reacts: you ask a question, the AI gives an answer. An agent gets to work on its own. It analyses the situation, chooses an approach and executes it.
What does an agent do in practice?
- A customer service agent that resolves complex cases and sends follow-ups.
- An HR assistant that drafts vacancies, screens CVs and schedules appointments.
- An IT agent that analyses monitoring data and intervenes before downtime occurs.
What is an AI agent?
A digital operator for your processes
An AI agent acts purposefully in digital environments. It gathers information, analyses context and carries out actions with minimal human intervention. In doing so, it adds a new layer of intelligence to existing systems.
From incident handling to customer contact
Agents optimise workflows, resolve incidents, personalise customer interactions and flag risks early. Agentic AI is the whole of such collaborating agents. Together they achieve business goals faster and more reliably.
Applications within organisations
Below are 3 examples of high-impact use cases.
Automating IT processes
Fewer incidents, more focus on strategy
An IT agent monitors your systems 24/7. It detects anomalies and intervenes automatically to prevent downtime. Repetitive tasks disappear. Focus on what matters.
Result:
- 60–80% fewer incidents
- Faster problem resolution
- Proactive performance monitoring
Smarter production & inventory management
From demand forecasting to product configuration.
A production agent forecasts demand, optimises inventory and automatically proposes product configurations based on customer needs. This lets you produce quotes faster and more accurately.
Result:
- Better continuity
- lower inventory costs
- Improved customer advice
Optimising logistics flows
More speed, fewer errors.
A logistics agent validates documents automatically, plans routes in real time and flags delays before they arise. This keeps you in control of the chain.
Result:
- Faster deliveries
- Fewer errors in document checks
- Real-time route optimisation
New possibilities every week
Agentic AI is developing at breakneck speed. The examples above give an impression, but the real value lies in solutions that fit your organisation and processes. What is still manual today runs autonomously tomorrow.
How it works in practice
50% shorter turnaround time for product translations
An international organisation translated product information into multiple languages by hand. That took three to four weeks per translation and required four revision rounds. LINKIT built a Translation AI Agent that took over this process entirely.
The agent reads in source data, applies fixed terminology and brand language and generates consistent translations. The result: turnaround time dropped by 50%, and only one revision round is now needed.
Mendix and OutSystems: agentic AI in a manageable environment
Mendix: more than low-code
Mendix now calls itself an agentic enterprise platform. It is an environment where applications, AI agents, workflows and people work together, with the right governance.
Ready for production, not just for demos
With vibe coding you quickly build a prototype. Valuable for an initial validation, but not automatically ready for production. As soon as an application becomes part of a business process, other requirements come into play.
Building in a controlled way with Mendix
Mendix offers you a different route. The platform organises applications, workflows, AI agents and existing systems in one manageable environment. Not as a standalone experiment, but as part of a process that you manage, audit and keep developing.
OutSystems: applications with Mentor AI
According to Gartner, by 2027 AI will automatically generate nearly 15% of all new applications. With OutSystems’ Mentor AI, that is already a reality today.
Build faster, deliver more quality
Mentor AI integrates generative AI directly into the development process. This lets you set up functional applications in minutes with AI-driven code generation. Smart suggestions help your team iterate faster. Automatic quality control improves performance, security and maintainability.
AI features available right away
Add chatbots and natural language processing to your applications without extra complexity. OutSystems handles the integration; you focus on the user.
How do you get started with Agentic AI?
Getting started successfully calls for a focused, manageable first use case. Think of checking forms, merging reports or flagging anomalies. Read more about this in: Getting started with Agentic AI the smart way: control over Budget & ROI.
With AI security, it is mainly about trust in behaviour: can an agent act safely within predefined boundaries? We explore this further in the article: Agentic AI and Security: Autonomy without risk.
Privacy is also an important part of Agentic AI. It is essential to understand what an AI agent does with your data. Read more about this in the article: Agentic AI and Privacy: Trust through transparency.
LINKIT as your Agentic AI partner
Technology that truly works in your organisation
Many AI initiatives run aground through a lack of strategy, clear use cases or focus on ROI. LINKIT helps you avoid that. Our multidisciplinary teams combine knowledge of AI, low-code and enterprise IT.
What you can expect from us
We work with a proven approach in complex IT landscapes. We know cloud, data and low-code inside out. Security, scalability and governance are not an afterthought, but starting points.
The 4D model: from idea to scalable value
Discover – Workshop & Roadmap
Start with a focused workshop. Map out the opportunities and determine the most valuable use case.
The result: a clear shortlist and a realistic roadmap.
Design – Data, Systems & Context
Investigate which data and systems are needed. Look at how the agent fits into your IT landscape.
Consider security, privacy, governance, data quality and integrations.
Develop – Build & Validate Results
Build an MVP agent and measure the results: time savings, error reduction, response times.
Then decide on the next step: expand or scale up.
Drive – Scale & Improve Agents
After the first successes, you keep building towards a sustainable AI ecosystem.
With monitoring, management and version control, agents work together safely and keep improving.
Ready to get started?
Schedule a no-obligation conversation
Want to know where Agentic AI delivers the most value for your organisation? Talk to one of our experts and discover what you can start with tomorrow.
Daan de Groof
