TECHNOLOGY
Agentic Automation
Automation used to mean rules. You told a software robot exactly what to click, in what order, and it repeated that forever. Agentic automation adds judgement. An AI agent can read a situation, decide what to do, and handle the cases a fixed script would break on. At robonext we build these agents on top of the automation we already run in production, so they are useful from day one rather than just an experiment.
What is an AI agent
An AI agent is software that pursues a goal instead of following a fixed path. Give it a task, access to the right systems, and a set of actions it is allowed to take, and it works out the steps itself. It reads documents and messages, reasons about what they mean, calls the systems it needs, and asks a person when it is unsure. Where a classic robot cannot handle unknown exceptions, an agent can interpret the situation and continue.
RULE-BASED ROBOT
Follows a script, step by step.
- Fast and exact
- Perfect for stable, high-volume work
- Halts when reality does not match the script
AI AGENT
Works toward a goal.
- Copes with variation
- Reads unstructured input
- Chooses between options
In practice the two work together. The agent decides, the robot and the systems carry out the steps.
From RPA to agents
Most organisations do not need to replace what they have. Rule-based automation is still the right tool for high-volume, stable, well-defined tasks. Agents earn their place where the work involves judgement, unstructured documents, or more exceptions than a script can cover.
Keep the robots
Stable, high-volume tasks stay with rule-based automation. It is cheaper and more predictable there.
Add agents where it hurts
Judgement, unstructured documents and long exception queues are where an agent earns its place.
Orchestrate the whole
An orchestration layer makes robots, agents and systems run as one flow instead of disconnected scripts.
How we build agents
We build agents the way we build any automation that has to survive in production. That means starting from a real process and ending with something you can trust and govern.
Start from the process
We map the task, the systems, the decisions and the exceptions before we build anything, usually in an opportunity scan.
Ground it in your data
An agent is only as good as what it can see, so we connect it to your documents and systems. Its answers and actions are based on your reality.
Give it tools and limits
We define exactly which systems the agent may read and which actions it may take, so it does useful work without doing anything it should not.
Keep a person in the loop
For anything sensitive or hard to reverse, the agent proposes and a person approves. You decide where validation is required.
Test before production
We evaluate the agent against real cases, measure where it is right and where it is not, and move to production only when it holds up.
Monitor and govern
Once live, we log what the agent does, watch its quality over time, and keep you in control of its access and behaviour.
Best-in-class agentic platforms
We are not tied to one platform. We build agents with UiPath or with Microsoft, and help you decide which tools best fit your situation.
UiPath
Agents next to the robots you already run, inside the same orchestration and governance.
Microsoft
Agents on Copilot Studio and the Power Platform, close to the Microsoft 365 stack your team works in.
Where agentic automation fits
Agentic automation pays off wherever people spend their time reading, deciding and typing the same kinds of things across systems. A few common starting points:
Document-heavy processes
Reading incoming documents, extracting what matters, and updating the right systems.
Exception handling
The cases in finance and operations that a fixed robot kicks out for a person to sort.
Triage and routing
Classifying incoming requests or messages and sending them to the right place with a draft response.
Knowledge lookup and action
Finding the right answer across your own systems, then carrying out the next step.
WHY ROBONEXT
Agents built by people who run automation every day
We have automated more than 1000 processes in production since 2019, so we build agents with a clear idea of what works in real business settings. We also build custom software, which means an agent can be wired into a proper application when a standard tool does not fit. And because adoption is where automation usually fails, we stay involved until your team trusts the agent and uses it.
1000+
PROCESSES IN PRODUCTION
Running every day since 2019, in Finance, Supply Chain, Purchase, Operations and HR.
Curious where an agent could help?
Book an opportunity scan and we will find the processes where agentic automation pays back fastest.
