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The AI-Native Company Playbook

A practical walkthrough of how the companies pulling ahead actually operationalize AI - the sequence, the ownership, and the stop list. Watch first, then take the frameworks.

25:52 watch·5 chapters·By Haroon Choudery
VSL · AI-Native Playbook25:52
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What you'll learn

Five chapters, one operating model.

01
Why AI pilots stall at the org, not the model

The real failure mode - and why more tooling never fixes it.

00:00
02
The four traits of an AI-native company

Priority stack, stop list, context layer, governance.

04:30
03
The maturity model: Curious -> Native

Locate your team honestly, and see the next move.

10:15
04
The audit sequence

What to run, who owns it, and what to fund first.

16:40
05
Making it compound across the business

From a few power users to an operating rhythm.

22:30

The AI-Native maturity model.

Four stages. Most teams sit at Piloting and mistake activity for progress - the jump to Operational is an org decision, not a tooling one.

Stage 01
AI-Curious

Scattered experiments. Enthusiasm without a system; nothing visible to leadership.

Stage 02 · you are here
Piloting

Real pilots, a few power users - but nothing compounds and no one owns the sequence.

Stage 03
Operational

A named priority stack, a stop list, and a context layer someone owns. Judgment scales.

Stage 04
AI-Native

AI is the default operating posture. New work is designed AI-first, with guardrails, by default.

Everything the video maps out - as a working kit.

The priority-stack worksheet - rank the few AI bets worth executive attention.
The stop-list template - name the pilots quietly draining attention.
The audit runbook - agenda, owners, and outputs.
The context-layer checklist - the knowledge that makes models useful.
A governance one-pager - guardrails that let people move without asking.
A board-ready summary - the sequence your leadership can get behind.
The rest of the playbook

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