Process Automation

Rule-based (RPA) or with artificial intelligence (AI agents)

In a glance

Processes involving a lot of manual input and system breaks are prone to errors and inefficient.

The targeted use of automation through robotic process automation (RPA) and AI agents increases the efficiency and quality of processes.

Automation potential in existing processes is identified and implemented with the help of RPA/AI, leading to a noticeable optimization of workflows.

As a result, your company benefits from highly automated execution and monitoring of repetitive tasks with less personnel and fewer errors.

Is the way we currently carry out our processes, which requires a lot of manpower, really future-proof?

– Demographics and current IT/AI developments would suggest not

The Challenge

Various developments are increasing the pressure to make processes more efficient, faster, and error-free: (New) competition, a shortage of skilled workers, an aging workforce, and, at the same time, increasing compliance and regulatory pressure are the main drivers here.

Can you really afford the luxury of complex “manual” processes (for much longer)?

Depending on the process, a strictly rule-based approach to automation (RPA/Robotic Process Automation) or a more flexible approach enabled by current AI techniques (AI agents) can be used to control existing IT systems (on-screen or in the backend). This is analyzed by T60 and then implemented accordingly.

Our approach

With the T60 process automation approach, we determine which processes in your company are suitable for which type of automation and implement the automation for you.

Analysis – Examination of existing business processes for suitability and risks
Evaluation & documentation – Methodical evaluation and requirements documentation of suitable automation candidates, including KPIs
Development, testing, and monitoring – Development and testing of automations and implementation of suitable monitoring – with the option of manual intervention

Analyse

Document Requirements

Implement / Operate

Most notable results

Clear view of automation potential

Identification of suitable business processes
Assessment of feasibility with RPA or AI agents
Requirements documentation for the selected processes (detailed business analysis and recording of KPIs in actual operation)

Technology, integration, and operation

Selection of suitable automation technology(ies)
Development and testing of automation with specialist departments and IT
Implementation support from T60 through to stable operation and monitoring by your IT department

Measurable efficiency gains

Highly automated processes including manual intervention options where necessary
Measurable efficiency gains (KPI comparison manual/automated)
Option to scale automation in terms of number and performance

The time is now for automation

Koenraad Demeulemeester

Practice Lead Digital Transformation

Connect on