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Leveraging The Power of Generative AI

Beyond Access to Strategic Implementation Generative AI has undeniably emerged as a transformative force across industries, but simply providing employees with access to AI tools is no longer sufficient for competitive advantage.
Organizations that truly harness GenAI's potential understand that success requires a systematic, strategic approach – one that goes beyond surface-level adoption to identify high-impact use cases and seamlessly integrate proprietary knowledge with AI capabilities.
The difference between AI experimentation and AI transformation lies in deliberate implementation that aligns with business objectives and leverages unique organizational assets.
In the mobility sector, forward-thinking companies are demonstrating this strategic approach by deploying GenAI for complex, data-rich challenges:
  • Automotive manufacturers are using AI to generate optimized vehicle routing algorithms that consider real-time traffic patterns, weather conditions, and delivery priorities, while simultaneously accessing internal historical performance data to refine predictions.
  • Similarly, logistics companies are employing GenAI to create dynamic supply chain scenarios, generating thousands of "what-if" models that incorporate both external market intelligence and proprietary supplier relationship data.
These applications succeed because they combine AI's generative capabilities with deep, company-specific knowledge that competitors cannot replicate. The key to maximizing GenAI's impact lies in creating intelligent feedback loops between artificial intelligence and institutional knowledge.
Organizations must move beyond generic AI implementations to develop systems that learn from internal processes, customer interactions, and operational nuances.
When GenAI becomes an extension of organizational intelligence rather than a standalone tool, it transforms from a productivity enhancer into a genuine competitive differentiator that grows more valuable over time.
Just imagine an AI that actually understands your enterprise.
What if you could have a conversation with your entire business? What if every strategy session started with perfect knowledge of how every piece of your organization connects, competes, and creates value?
Ready to transform into an intelligent enterprise?
Our interactive showcase on transentis.ai illustrates how we incorporate AI into our transformation methodology to ensure you get the most out of AI.

Upcoming Events

Using GenAI for Process Redesign and Optimization
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Using GenAI for Process Redesign and Optimization

Thursday, November 27, 2025 - 1.5 hours - English

From Knowledge Graphs to Intelligent Process Transformation.

Selected White Papers

Our White Papers Provide In-Depth Knowledge
Case Study: Using GenAI for Complex Problem Solving
Case Study: Using GenAI for Complex Problem Solving

Case Study for the white paper "Using GenAI for Complex Problem Solving"
Using Generative AI for Complex Problem Solving
Using Generative AI for Complex Problem Solving

An in-depth discussion of how to use Generative AI to solve complex problems, illustrated with a case study.
AI for Enterprise Decision Making
AI for Enterprise Decision Making

Combining Simulations, Machine Learning, Knowledge Graphs