The AI Guidebook
AI for Enterprise
Towards Enterprise Intelligence
The evolution of AI progresses in stages. Copilots and personal AI assistants are just a glimpse of what AI can truly achieve in business—and what it will enable in the future. By the end of the decade, AI will take full ownership of entire tasks independently. This will lead to fully digitalized business operations, where AI agents handle day-to-day tasks while humans focus on larger strategic objectives. Information systems will become intelligent and self-directed.
Successful companies don’t just adopt AI—they build for it. Success in this transformation is not just a technological challenge but a strategic imperative. We help businesses avoid common pitfalls and turn AI into a real competitive advantage and an integral part of their operations.
How will AI revolutionize business? How do you take the first steps? We have gathered insights and practical experiences on successfully implementing AI—explore and discover the intelligent business model for your organization!
Content of the Guidebook
Data is your Advantage
Data management and architecture are crucial in building enterprise intelligence. What should be considered regarding data quality and governance? You’ll also find a data architecture checklist.
Why do AI Projects Fail?
Many companies get stuck in the proof-of-concept (PoC) phase and never scale their AI solutions into production. We’ve compiled the most common reasons for failure—and how to avoid them.
AI Maturity Model
We developed the AI Maturity Model framework to help organizations assess and advance their AI adoption. What stage is your organization at, and what should be considered at that level?
Scaling AI Beyond PoCs and Pilots
Many AI projects perform well in controlled test environments but face challenges when scaled to real business operations. How can you ensure your AI solutions transition successfully into production?
How to Build an AI Center of Excellence and Integrate AI into Company Culture?
For AI to become a true driver of business success, organizations need a dedicated AI Center of Excellence. How do you establish one that delivers real value?
Invest in the Right Technology Stack
AI adoption is not just a cultural shift; it also requires strategic technology investments. What solutions are essential for achieving enterprise intelligence?
Frequently Asked Questions
We compiled the most common questions and answers we hear when discussing enterprise intelligence and AI implementation with business leaders.
Business Use Cases
Examples of successful AI projects and their impact on business operations.