About The AI Translation

AI isn't a new discipline. It's an accelerant applied to disciplines that already exist. Every AI concept has a direct business equivalent that professionals already understand.

I've spent 20+ years leading digital transformation at Fortune 500 companies across insurance, financial services, healthcare, and technology. The one constant: the people doing the work already understand 90% of what AI does. They just don't know it yet, because nobody speaks their language.

This project fixes that.

The AI Translation maps every AI concept to what business professionals already do — function by function, industry by industry. Not theory. Not vendor pitches. Not 30,000-foot frameworks you can't operationalize. The actual work, described in the insider language of the people who do it, with specific technologies named and specific implications called out.

If you're in underwriting, you already build risk models. If you're in claims, you already triage and investigate. If you're in compliance, you already manage regulatory complexity across 50+ jurisdictions. AI doesn't replace what you know — it runs on what you know.

217 mappings. 8 industries. 119 functions. One thesis: start with what you already do.

What Makes This Different

1

Leads with business, not technology

Every translation starts with “What You Do Today” — grounding the reader in their world before AI enters the conversation.

2

Names specific technologies

Not “AI” or “Machine Learning” — but Gradient Boosted Trees, NLP Named Entity Recognition, Monte Carlo Simulation. Precision matters.

3

Addresses the fear factor directly

“What Changes” and “What Stays the Same” side by side. Most AI does not replace — it enhances. This project is honest about that.

4

Deep insider language

ICD-10 codes, ALAE vs. ULAE, LTV:CAC, IFTA, SERFF — the reader should think “this person sat next to me.”

By the Numbers

8

Industries

119

Functions

217

Enriched Mappings

810

AI Technologies

68

Universal Concepts

9

AI Frameworks

12

Business Frameworks

354

Cross-Industry Concepts

Impact Distribution

Enhances
153 (71%)
Automates
37 (17%)
Transforms
26 (12%)
Replaces
1 (0%)

Three Layers of Translation

Chris Roblee

Connect on LinkedIn#TheAITranslation