IT processes are the backbone of a modern business – yet making them efficient remains a challenge for many. Perhaps you’re facing this very situation: you want to optimise IT processes without hiring consultants, reduce costs, and gain more transparency over your operations.
Traditional IT consulting firms analyse weaknesses, assess processes, and identify optimisation potential. However, this approach has significant drawbacks: high costs, long project durations, and a strong dependency on external experts. Additionally, companies often lack the internal transparency needed to implement long-term improvements independently.
But there’s a better solution: modern technologies like Artificial Intelligence (AI) and Process Mining enable you to analyse IT processes in real-time, identify bottlenecks, and implement optimisation measures autonomously – quickly, precisely, and without external consultants.
In this article, you’ll learn why independent IT process optimisation can be challenging, which technologies facilitate autonomous improvements, and how PETE helps you optimise your IT processes automatically – without consultants, without high costs, and without complex tools.
The biggest challenges in IT process optimisation without consultants
Efficient IT processes improve workflows, reduce costs, and enhance competitiveness. Yet, many companies struggle with implementation due to a lack of transparency, unclear optimisation criteria, or overly complex tools.
Where companies often fail
Lack of transparency in existing IT workflows
Without structured analysis, it’s difficult to determine which processes are inefficient, driving up costs, or causing delays.
Data chaos and unstructured information
Many businesses still rely on fragmented systems, manual spreadsheets, or isolated IT solutions – meaning valuable insights are lost.
Slow optimisation processes without clear recommendations
Without real-time analysis, companies rely on manual audits, making it difficult to react quickly to problems.
High dependence on human expertise
With IT teams already overwhelmed, there is little time for systematic optimisation. Without automation, implementation remains slow and inefficient.