Strategy.
The word shows up in every slide deck, earning calls report, press release, and hallway whisper.
Add “AI” in front of it and the noise level triples.
But when you ask, “What does a good AI strategy look like?” the room goes quiet.

Let’s fix that.

Buying GPUs or negotiating LLM cloud credits isn’t a strategy.
Hiring a chief-something-officer isn’t a strategy.
Running a pilot that never ships? Still not a strategy.

A real AI strategy answers one simple question:

How will we, the people who work here, get smarter, faster, and braver because AI is in the room?

To make that happen you only need three layers.
Think of them as concentric circles, moving inward from “me” to “we” to “all of us” (which is the core).

Traditionally, transformation strategies struggled to resonate with employees focused on day-to-day impact because they couldn't relate to the conversations of the board-rooms. For example, while a multinational burger chain's aim to become data-driven matters to the board, it means little to frontline staff making burgers or handling cash. AI, however, impacts everyone's workflow directly and offers tangible benefits to each role. This is the gift of AI for the change leaders that we must embrace.

Start small. Start personal.

1. Notice the friction.
   Where do you waste minutes copying, pasting, hunting, guessing? That’s the opening for automation or suggestion.

2. Pick one task.
   Summarize the document. Draft a first email. Label yesterday’s data. Let the model try, then edit.

3. Measure the feeling.
   Did the work get lighter? If you finished sooner, spend the surplus on the work only you can do.

4. Make AI the Personal Strength.
   Have you hired your first personal AI agent(s) that is automatically drafting emails for you, preparing you for your day or helping you reflect on your 1-to-1s with the manager.

This layer isn’t about mastery. It’s about confidence.
When every individual feels, “AI makes me better,” adoption isn’t an initiative; it’s momentum.

Work is a team sport. Solo wins are nice; shared wins change culture.

1. Show your homework.
   Bring your AI-assisted draft to the discussion table. Let teammates see how you use AI. Create space for Human+AI Collaboration in a group setting.

2. Blend perspectives.
   Marketing asks the model for headlines. Legal asks it for risk flags. Put those prompts together. Magic happens in the overlap.

3. Breed Human+AI Facilitators.
   The fusion of machine intelligence and human-ness is building the new orchestra, identify and reward the facilitators in the team that are driving the Human+AI Collaboration.

4. Write a tiny rulebook.
   One page. What’s allowed, what’s off-limits, how the humans work in loop with AI. Agree fast, refine often.

Done right, AI becomes the quiet teammate who never sleeps and never takes credit.
Productivity climbs. So does trust.

Now the heavy lift: turning scattered wins into a system.

1. Collect the crumbs.
   Every prompt, every project in loop with AI, every outcome teaches the larger brain. Capture that data on purpose, not by accident. Curate the collective wisdom and shape it into an organization's prefrontal cortex. The one that acts like the organization's system prompt curated from pristine organisational learnings instead of a RAG built on disjointed data dump of company's policy documents.

2. Govern with light hands.
   Guardrails matter, but bureaucracy kills learning. Automate the checks—bias tests, privacy filters—so humans stay focused on decisions.

3. Invest with intent.
   Tools age quickly; habits last. Spend less on shiny expensive LLM Models, more on shared AI deployment methods that works for everyone, LLM-ready data, and ongoing coaching for Human+AI Collaboration.

When the organization thinks in loops—people train models, models train people—you’ve built an AI advantage that compounds.

The true test of your AI strategy isn’t its length or its jargon. It's the clarity. Can you distill its essence into a single, powerful line that every employee – from the boardroom to the frontline – understands and feels? Push yourself ruthlessly towards this simplicity. If your strategy can’t survive the "one-line test," it’s likely still trapped in the fog. True north is found in a sentence like this: "We progress by enabling everyone to Participate with their AI, Facilitate team AI collaboration, and build our collective Organization Brain."

This is the power of focus. When your strategy becomes that clear – Participate (My AI) => Facilitate (Team's AI) => Progress (Organization Brain) – it stops being a document and starts being a compass. It guides daily decisions, fuels individual initiative, and aligns every layer of your organization towards a future where humans and AI together are fundamentally smarter, faster, and braver. Now, go sharpen your strategy until it cuts through the noise in a single, resonant line. What's your AI Strategy?

Strategy.
The word shows up in every slide deck, earning calls report, press release, and hallway whisper.
Add “AI” in front of it and the noise level triples.
But when you ask, “What does a good AI strategy look like?” the room goes quiet.

Let’s fix that.

Buying GPUs or negotiating LLM cloud credits isn’t a strategy.
Hiring a chief-something-officer isn’t a strategy.
Running a pilot that never ships? Still not a strategy.

A real AI strategy answers one simple question:

How will we, the people who work here, get smarter, faster, and braver because AI is in the room?

To make that happen you only need three layers.
Think of them as concentric circles, moving inward from “me” to “we” to “all of us” (which is the core).

Traditionally, transformation strategies struggled to resonate with employees focused on day-to-day impact because they couldn't relate to the conversations of the board-rooms. For example, while a multinational burger chain's aim to become data-driven matters to the board, it means little to frontline staff making burgers or handling cash. AI, however, impacts everyone's workflow directly and offers tangible benefits to each role. This is the gift of AI for the change leaders that we must embrace.

Start small. Start personal.

1. Notice the friction.
   Where do you waste minutes copying, pasting, hunting, guessing? That’s the opening for automation or suggestion.

2. Pick one task.
   Summarize the document. Draft a first email. Label yesterday’s data. Let the model try, then edit.

3. Measure the feeling.
   Did the work get lighter? If you finished sooner, spend the surplus on the work only you can do.

4. Make AI the Personal Strength.
   Have you hired your first personal AI agent(s) that is automatically drafting emails for you, preparing you for your day or helping you reflect on your 1-to-1s with the manager.

This layer isn’t about mastery. It’s about confidence.
When every individual feels, “AI makes me better,” adoption isn’t an initiative; it’s momentum.

Work is a team sport. Solo wins are nice; shared wins change culture.

1. Show your homework.
   Bring your AI-assisted draft to the discussion table. Let teammates see how you use AI. Create space for Human+AI Collaboration in a group setting.

2. Blend perspectives.
   Marketing asks the model for headlines. Legal asks it for risk flags. Put those prompts together. Magic happens in the overlap.

3. Breed Human+AI Facilitators.
   The fusion of machine intelligence and human-ness is building the new orchestra, identify and reward the facilitators in the team that are driving the Human+AI Collaboration.

4. Write a tiny rulebook.
   One page. What’s allowed, what’s off-limits, how the humans work in loop with AI. Agree fast, refine often.

Done right, AI becomes the quiet teammate who never sleeps and never takes credit.
Productivity climbs. So does trust.

Now the heavy lift: turning scattered wins into a system.

1. Collect the crumbs.
   Every prompt, every project in loop with AI, every outcome teaches the larger brain. Capture that data on purpose, not by accident. Curate the collective wisdom and shape it into an organization's prefrontal cortex. The one that acts like the organization's system prompt curated from pristine organisational learnings instead of a RAG built on disjointed data dump of company's policy documents.

2. Govern with light hands.
   Guardrails matter, but bureaucracy kills learning. Automate the checks—bias tests, privacy filters—so humans stay focused on decisions.

3. Invest with intent.
   Tools age quickly; habits last. Spend less on shiny expensive LLM Models, more on shared AI deployment methods that works for everyone, LLM-ready data, and ongoing coaching for Human+AI Collaboration.

When the organization thinks in loops—people train models, models train people—you’ve built an AI advantage that compounds.

The true test of your AI strategy isn’t its length or its jargon. It's the clarity. Can you distill its essence into a single, powerful line that every employee – from the boardroom to the frontline – understands and feels? Push yourself ruthlessly towards this simplicity. If your strategy can’t survive the "one-line test," it’s likely still trapped in the fog. True north is found in a sentence like this: "We progress by enabling everyone to Participate with their AI, Facilitate team AI collaboration, and build our collective Organization Brain."

This is the power of focus. When your strategy becomes that clear – Participate (My AI) => Facilitate (Team's AI) => Progress (Organization Brain) – it stops being a document and starts being a compass. It guides daily decisions, fuels individual initiative, and aligns every layer of your organization towards a future where humans and AI together are fundamentally smarter, faster, and braver. Now, go sharpen your strategy until it cuts through the noise in a single, resonant line. What's your AI Strategy?