Practical AI Strategy for Business Growth

Practical AI Strategy for Business Growth, by Marcin Ladowski, Tarik Safouan and Jens Müller

Designated.AI

Practical AI Strategy
for Business Growth

What happens when a strategist, an operator and an engineer write a book together? You get the version of AI that survives contact with a real business. No hype, no jargon, no tool of the week.

25 chapters  ·  3 parts  ·  Paperback

The reader’s resources

Worksheets, prompts, checklists and companion materials that go with the book. Free, and we keep adding to them.

  • The 4A strategy worksheet
  • AI readiness assessment
  • First-win canvas
  • Prompt library
  • Build vs. buy decision guide

Enter your details, then click the button in the email we send. Everything opens straight after.

What’s inside

Three parts, built to be read in order. Understand it, plan it, then make it work.

Plain language on what AI actually is, what it can do in a business, and where it falls short. Start here if the vocabulary has been getting in the way.

  1. 1.1 What AI Really Is
  2. 1.2 How AI and Automation Work Together
  3. 1.3 The Five Things AI Can Do in Any Business
  4. 1.4 Your First Win with AI
  5. 1.5 How Large Language Models Work
  6. 1.6 Agentic AI, from Prompts to Smart Flows
  7. 1.7 Limits to Be Aware Of

Where most AI efforts quietly fail: adoption without alignment. This part gives you the 4A framework, a read on your current reality, and a 90-day sprint.

  1. 2.1 The AI Trap: Adoption Without Alignment
  2. 2.2 Why an AI Strategy Matters
  3. 2.3 Your Reality Today
  4. 2.4 The 4A AI Strategy Framework
  5. 2.5 Applying the 4A Strategy to a Real Business
  6. 2.6 The Roadmap and the 90-Day Strategy Sprint
  7. 2.7 Strategy Red Flags
  8. 2.8 Conclusion: The Path Forward

Execution. Culture, use case selection, build versus buy, vendors, ROI, guardrails, and how to scale something that started as one small win.

  1. 3.1 Making AI Part of Your Culture
  2. 3.2 What Your Team Needs to Succeed with AI
  3. 3.3 Pick the Right Use Case
  4. 3.4 Build vs. Buy vs. Delegate
  5. 3.5 Choosing Allies, not Just Vendors
  6. 3.6 Measuring ROI
  7. 3.7 Build to Scale
  8. 3.8 Guardrails That Matter
  9. 3.9 What Comes Next
  10. 3.10 Continue the Journey
Marcin Ladowski, Tarik Safouan and Jens Müller

Who wrote it

A strategist, an operator and an engineer. Three lenses on the same problem, shaped by different countries and different careers.

Marcin Ladowski

Operator

Built and scaled his own company, then moved into C-level operating roles. His work spans automotive, healthcare, fashion and cosmetics across North America, the Caribbean and Latin America, with deep experience in software and e-commerce. He now advises small and medium businesses on competing with AI and is building an AI platform for talent management. Completing the Chief Product Officer program at MIT.

Tarik Safouan

Strategist

Leads the AI Center at Barry University and launched its AI Strategy program. Master’s in Digital Media Design from Harvard. Work spans media, sports, aviation, manufacturing and services.

Jens Müller

Engineer

Founder and CEO of TBench.Solutions, a gold-certified Preferred Design House of Infineon Technologies. Deep automotive engineering background and multiple patents in mission-critical systems.