AI · BUSINESS · GROWTH

Thinking about what businesses become when intelligence is everywhere.

I explore and test how AI changes operating models, decisions, products and go-to-market.

See the idea applied ↓

01Don’t automate yesterday’s workflow. Redesign the outcome.

02Work will organise around outcomes, not only reporting lines.

03GTM should learn continuously. It should not reset at every handoff.

THE CENTRAL QUESTION

“What would you build differently if intelligence were no longer scarce?”

PERSPECTIVE, PRACTICE, PROOF

Computer science, creative systems and commercial thinking.

Strongest commercial proof in GTM, from research and messaging to account focus and pipeline motion.

LIVE APPLICATION

The AI-First Rebuild

The argument becomes useful when applied. Research one organisation, examine one real workflow, and leave with a practical 90-day test.

Apply the idea ↗

WHAT YOU LEAVE WITH

01Observed context

02Workflow to redesign

03Human decision boundary

04GTM implication

0590-day test

Public evidence and your context, clearly separated.

ONE IDEA / FOUR VIEWS

A claim tested through evidence, tension and implication.

01 / CLAIM

AI-first is not AI-enabled.

Adding AI to an unchanged workflow may improve speed without changing what the organisation can decide or deliver. Becoming AI-first starts by redesigning the outcome, then deciding where machines act and where humans remain accountable.

AREAS OF FOCUS

AI-first operating models

Agentic workflows

AI × GTM

ABOUT

I’m Olaitan. I’m interested in the practical shift from using AI to becoming AI-first.

I write and experiment at the intersection of artificial intelligence, business transformation and growth.

This site is where I develop ideas in public, challenge familiar ways of working and make sense of what comes next.

LET’S THINK TOGETHER

Bring an interesting problem.

AI transformation, operating models, GTM, or something that does not fit neatly into a category.