of all generative AI projects in companies fail.
Source: Gartner/McKinsey Studies 2024
The integration of AI rarely fails because of the technology.
It fails because of humans, structures, and culture.
Organizations today are faced with the question of how product logic, processes, leadership models, and efficiency requirements will change when AI models, automation steps, and data-based decisions become part of everyday life.
With the AI transformation program, we help companies change exactly that: build an organization that understands, integrates, and lives AI – from individual competence to systemic transformation.
Relevant use cases are considered, as are industry-specific requirements.
AI in companies changes not only processes, but entire decision-making logics.
AI opens up new opportunities, changes value creation, and creates possibilities to strengthen market positions through innovative business models, or to completely rethink them.
While individual AI training courses teach necessary skills and new leadership principles, a different approach is needed for AI transformation at the organizational level:
It can only happen when structures, culture, and leadership work together.
triangility supports companies in designing their AI-supported organizational development in such a way that culture, governance, and technology are aligned—with an integral organizational approach that synchronizes technology, human beings, and strategy at all levels. For a successful AI transformation.
“We’ve already done training, but nothing has changed.”
“We don’t know who is actually responsible. Every team does its own thing.”
“AI scares my team / I don’t want to be replaced.”
We support organizations that want more than just to introduce technology – that want to learn to think, lead, and grow with AI.
Transformation of the entire system: human beings, skills, culture, and structures. 24 dimensions, 4 levels, 1 system
Think systemically.
The entire organization helps shape the transformation – from C-level to the operational team.
Create together.
AI enhances human strengths instead of replacing human beings.
Human beings remain at the center, but are augmented by AI.
Lead with humanity.
In this video, discover how the AI Transformation Program from triangility prepares your organization holistically for the AI era.
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More InformationMaturity analysis across 24 dimensions.
Putting together the right tracks & modules.
Implementation, support, measurability.
Every organization starts at a different point.
That’s why triangility offers five modular tracks – from AI Foundations to Integral AI Leadership.
Each track combines 3 to 7 modules from areas such as strategy, innovation, governance, and culture.
Take the first step: Find out where your organization stands in terms of AI transformation.
AI transformation describes the holistic change of an organization in which artificial intelligence is not only introduced but fully integrated.
It combines technology with leadership, culture, and structure.
The goal is not automation, but rather an organization that understands AI, uses it responsibly, and develops new forms of collaboration, innovation, and value creation from it.
The focus remains on human beings.
AI training primarily imparts new knowledge, the use of tools, and new behaviors, especially for leaders.
AI transformation changes the system in which this knowledge can – and must – unfold its full effect.
It addresses leadership logic, decision-making processes, and culture, rather than just building on skills.
Instead of individual workshops, a co-creation process emerges in which technology, human beings, and the organization learn together to rethink responsibility.
Every organization starts at a different point when it comes to AI maturity.
The development proceeds in three steps:
Only when all three levels are tackled together can true business transformation, driven by AI, take place.
Meaningful metrics combine technological and human factors:
AI-supported leadership does not measure output, but maturity – how well human beings and systems think, decide, and learn together.
You can find out more about this topic in our magazine article “KPIs for AI-supported leadership.”
he process usually takes six to nine months, depending on the size, maturity, and ambition of the organization.
It proceeds in three phases – diagnosis, co-creation, anchoring – and combines short experimentation periods with long-term strategic support.
Yes – but it expands it.
Digital transformation automates processes; AI organizational transformation changes thinking, leadership, and organization.
It shifts the focus from efficiency to intelligence; from data processing to meaning.
AI is therefore not the next wave of technology, but a cultural quantum leap within digital transformation.
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Discover the 7 management mistakes that hold many companies back – and practical tools that can help you overcome them and break through.
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