About The AI Translation
AI isn't a new discipline. It's an accelerant applied to disciplines that already exist. Most AI concepts have a direct business equivalent that professionals already understand.
Who This Is For
Executives
CIOs, CDOs, VPs evaluating where AI fits in their organization and what to prioritize.
Functional Leaders
Directors and managers who need to understand how AI changes their department's work.
Operators
People who do the work every day and want to know what AI means for their role.
Business Owners
Owner/operators who wear every hat and need to know which AI tools actually matter.
This is not for AI researchers or machine learning engineers. Technologies are grouped by business application, not by technical taxonomy.
What Makes This Different
Leads with business, not technology
Every translation starts with what you do today, before AI enters the conversation.
Names specific technologies
Not “AI” — but Gradient Boosted Trees, NLP Named Entity Recognition, Monte Carlo Simulation. Precision matters.
Honest about what changes and what doesn't
Most AI enhances — it doesn't replace. Every mapping shows both sides.
Written in your industry's language
The reader should think “this person sat next to me.”
What's Inside
21
Industries
612
AI Translations
401
Roles
16
Tech Architectures
Methodology
The mappings, impact classifications, and strategic guidance on this site reflect 20 years of enterprise transformation experience across insurance, financial services, healthcare, and technology. AI tools were used to scale the production of 612 mappings across 21 industries — the domain judgment behind them is human.
Every mapping is reviewed for accuracy and industry relevance. Impact classifications follow a consistent rubric. Technology names are specific, not generic.
Read the full methodology