AI Enterprise Training
We standardized documentation and AI usage across teams.
Goals
01
Unified AI Approach
Unified the approach to AI across teams for consistent adoption.
02
Streamlined Collaboration
Streamlined collaboration and communication across teams for better efficiency.
03
Accelerated Onboarding
Accelerated onboarding of new developers through standardized practices.
04
Higher Quality Releases
Increased the quality of new application versions and reduced the number of errors.
Training Participant - Česká spořitelna
Training Participant
Česká spořitelna
“Very well-designed training.”
Challenge
Large teams often struggle with fragmented knowledge and different standards. This leads to inefficient collaboration.
Goal
The goal was to standardize the use of artificial intelligence (AI) in software development across teams. Standardizing the environment and using the same and appropriate tools not only leads to better collaboration, but also enables process automation.
Higher development efficiency and fewer errors.
Our Solution
We train teams across all IT departments of Česká spořitelna to gradually increase AI adoption across the entire bank. AI can be used differently for each role, and we found the processes with employees that were routine for them and AI handled excellently.
- Over 18 trainings for 270+ developers, testers and analysts.
- Combination of theory and practical examples.
- Trainings tailored across technologies and experience levels.
Results
Unified knowledge and practical experience with AI accelerated collaboration across teams by 30%. Analysts can now create system designs so that developers and other roles can work with them effectively - either on their own or with the help of AI tools.
At this IT scale, we save tens of millions annually, which Česká spořitelna can invest in product development and innovation.
