Designated.AI
AI books explain technology.
This one explains decisions.
A strategist, an operator and an engineer wrote the version of AI that survives contact with a real business. No code required, and no tool of the week.
Written by operators, for operators
Three ideas the whole book rests on.
Clarity over complexity
No technical jargon. No tool worship. Clear frameworks you can apply Monday morning, whatever your tech stack.
Trust before scale
Run small, safe experiments that build confidence. Your first AI win should take weeks, not quarters.
People first, always
AI should free your team, not replace them. Automate the friction so people can do the work that matters.
Frameworks you can use on Monday
Named tools from the book, not abstractions.
- 01The 4A FrameworkAssess, Audit, Align, Activate. Find the friction that matters, understand what you already have, choose a realistic approach, and ship a pilot.
- 02The 5-Hour Effort Saving RulePick a first use case that saves roughly five hours of human effort a week while staying bounded, reviewable and low risk.
- 03The Four-Gate filterEvaluate before you automate. Four gates a process has to pass before AI touches it, so you don’t scale a broken workflow.
- 04Build, buy or delegateThree questions that decide where AI should be a core capability, a purchased product, or someone else’s job.
- 05The Signal-to-Money LagWork out how long a change takes to show up as money, so you stop killing things that were working.
Who it’s for
Intelligent, experienced, time-constrained, and not interested in becoming technical.
- Owners and founders who know AI matters but not where to start
- Operations and functional leaders responsible for making AI actually work
- Non-technical executives tired of hype and ready for honest guidance
- Advisors and consultants who need a practical framework for clients
Not for technologists
If you want code tutorials or model architectures, this isn’t your book. This is for leaders who want to deploy AI, not build it.
Practitioners, not pundits
Together they cut through the hype and focus on what matters: how businesses really adopt, scale and win with AI.
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, where he launched and teaches the AI Strategy program. Specializes in solutions architecture and scalable, real-world AI. Work spans media, entertainment, sports, aviation, manufacturing and services. Master’s in Digital Media Design from Harvard.
Jens Müller
Engineer
Founder and CEO of TBench.Solutions, a gold-certified Preferred Design House of Infineon Technologies. Deep automotive engineering background, multiple patents, and many years designing mission-critical systems. The company also develops its own boards for MCUs, APUs and FPGAs.
Start where you are
Read the book, then use the worksheets. Both are built for the same thing: getting one real AI win inside a real business.