Automation is complex – we make it intelligent
Companies today are facing massive challenges: Skills shortages, convoluted and inadequately documented processes, and escalating customer demands. Conventional automation often falls short.
But the reality of modern organizations is decidedly more dynamic: Information is dispersed across e-mails, documents, or CRM systems, necessitating real-time decisions based on context. Inflexible systems can no longer match this speed – what is essential is automation that understands, thinks independently, and evolves dynamically.
Your contact
Ahmet Varlik has been with the msg group since 2016, where he leads the Automation department within the msg Artificial Intelligence area. His extensive experience in optimizing complex processes — especially within the finance and insurance sectors — serves as the foundation for his role at the convergence of BPM, RPA, and AI.
From routine tasks to intelligent solutions: This is how Agentic Process Automation works
Agentic Process Automation (APA) integrates intelligent, self-learning agents into your process landscape. They autonomously handle tasks, enhance efficiency and flexibility, and future-proof your processes.
Out Agentic Process Automation approach employs intelligent agents that continuously analyze processes, identify unstructured data and derive optimization opportunities in real-time. Decisions are made autonomously and implemented proactively.
Benefits
✔ Time savings: Fully automates repetitive tasks
✔ Error reduction: Minimizes risks and increases process quality
✔ Innovation space: Employees can concentrate on creative and strategic initiatives
Why choose Agentic Process Automation?
Intelligent agents continuously analyze your data, identify patterns and optimization opportunities and autonomously improve processes. You gain from improved efficiency, lower error rates, and systems that continuously learn and adjust to evolving requirements.
Agentic Process Automation can be seamlessly integrated with existing IT landscapes. Both legacy systems and new platforms can be efficiently connected without disrupting existing processes.
Processes are continuously monitored and automatically adjusted to changes. This enables immediate decision implementation, prevents operational bottlenecks, and significantly reduces throughput times.
Agentic Process Automation grows with your company. Small pilot projects can be initiated quickly and, if they prove successful, scaled up to more complex processes.
This facilitates a flexible, cost-effective automation strategy that dynamically aligns with your business requirements.
Agentic Process Automation guarantees the highest security standards and complete GDPR compliance. Companies reduce risks, safeguard sensitive information, and fulfill regulatory obligations while digitalizing and automating their processes.
Ahmet Varlik - Head of department Automation
"Agentic Process Automation allows organizations to smartly manage processes and unlock previously hidden potential. The self-learning agents handle complex tasks, reduce errors, and free up resources for strategic initiatives. Organizations that implement our solution see a significant boost in efficiency while acquiring the adaptability needed to future-proof their operations."
The three stages of process automation: RPA, CPA and APA compared
Automation technologies are constantly evolving and offer different capabilities to optimize work processes. While Robotic Process Automation (RPA) primarily automates simple, rule-based tasks, Cognitive Process Automation (CPA) extends these capabilities through the use of artificial intelligence and enables the processing of more complex data and decisions.
The most sophisticated variant, Agentic Process Automation (APA), operates independently, makes its own decisions, adapts in real-time, and manages complex processes autonomously.
Begin your journey into intelligent automation today. We will be happy to advise you.
Ahmet Varlik has been with the msg group since 2016, where he leads the Automation department within the msg Artificial Intelligence area. His extensive experience in optimizing complex processes — especially within the finance and insurance sectors — serves as the foundation for his role at the convergence of BPM, RPA, and AI.