Breaking Silos: Successful Collaboration Between Tech & Business Teams in Complex Enterprise Systems
What if AI could act as the ultimate translator between your business and tech teams, finally breaking down organizational silos?
#1about 4 minutes
Operating at scale in the German financial sector
Finanz Informatik serves over 50 million customers and handles 205 billion transactions annually, creating a complex development environment.
#2about 6 minutes
Using AI to improve the entire development process
AI can enhance productivity not just in coding, but by optimizing surrounding tasks like log analysis and acting as a translator between siloed teams.
#3about 5 minutes
Shifting from rigid process thinking to impact thinking
Overcoming the classic tech-business divide requires teams to move beyond describing their process step and focus on their actual contribution to the final outcome.
#4about 2 minutes
Developing essential AI and human skills for modern teams
Future-proof teams require a blend of technical AI skills like data literacy, AI collaboration skills like prompt engineering, and critical human skills like creativity.
#5about 2 minutes
A practical example of an AI collaboration assistant
An AI assistant can bridge knowledge gaps by summarizing complex business specifications for developers, highlighting integration points and improving team alignment.
#6about 5 minutes
Implementing agile practices within waterfall structures
Even within rigid waterfall processes, teams can find opportunities to introduce agile elements and experiment with cross-team collaboration to improve efficiency.
#7about 3 minutes
Key takeaways for driving lasting cultural change
Successful transformation requires a long-term cultural shift built on shared goals, end-to-end responsibility, communication, and psychological safety for teams.
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