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.