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Articles, case studies, webinars, events, and training — practical thinking on AI, decisions, and the methods that make them stick. Written and run by practitioners.

How to align senior stakeholders around Big Bets (without a quarter of 1:1s)

How to align senior stakeholders around Big Bets (without a quarter of 1:1s)

$1.75B Quibi. $120M Juicero. Both would have failed a two-hour 4U scoring session. Here's the structure that catches expensive bets early.

The Playbook for AI Transformation

The Playbook for AI Transformation

HBR named the AI transformation problem. Here's the operating model underneath it — three pillars, two methods, three ROI horizons.

AI ideas vs. validated AI use cases: why enterprise teams confuse the two

AI ideas vs. validated AI use cases: why enterprise teams confuse the two

How to turn 100+ AI ideas into 2–3 validated use cases in two weeks: refile through a canvas, sort by business goal, run one workshop.

Should you run Problem Framing or a Design Sprint? Here's how to decide

Should you run Problem Framing or a Design Sprint? Here's how to decide

The most expensive mistake teams make isn't running the wrong workshop badly — it's running the wrong workshop well. Here's how to pick.

Design Sprint vs Design Thinking

Design Sprint vs Design Thinking

Learn the real differences, when to use each, and which one is the right starting point for your organization.

Stop asking "Where can we use AI?". Start asking "How do we operate differently because of AI?"

Stop asking "Where can we use AI?". Start asking "How do we operate differently because of AI?"

The reframe that separates AI investments that compound from ones that fade. Four operating shifts product leaders make.

Is a Design Sprint right for your organization?

Is a Design Sprint right for your organization?

Design Sprints work best in large, complex organizations — not just startups. Learn what a Design Sprint is, who it's for, and how to know..

The World Bank — When IT learns to frame the problem first

The World Bank — When IT learns to frame the problem first

If you lead a team where IT and the business are constantly talking past each other, this story shows what three days of training can do.

Turner Construction — How to built an AI Operating Model that compounds

Turner Construction — How to built an AI Operating Model that compounds

Turner Construction used the AI Lab methodology to build an AI operating model that now runs independently across 11,000 employees.

Red Bull — Validating a new platform before committing to build it

Red Bull — Validating a new platform before committing to build it

Red Bull's digital team had too many feature ideas and no clear direction. Here's how a Problem Framing day and a four-day Design Sprint ...

Most AI pilots are built on a flawed process. Here's where it breaks.

Most AI pilots are built on a flawed process. Here's where it breaks.

The obstacles that kill most AI rollouts were visible from day one. Your standard AI lifecycle just has no way to surface them.

You can't drive AI adoption without looking at your workflows first

You can't drive AI adoption without looking at your workflows first

Teams know their workflows are broken. They won't write it down. And that's exactly why AI adoption keeps stalling.

You don't need more AI Pilots. You need a system for deciding which ones to run. Enter the AI Lab

You don't need more AI Pilots. You need a system for deciding which ones to run. Enter the AI Lab

Enterprise AI Labs - your structured decision-making systems for validating what's worth building — before the investment starts.

Why AI-first workflow thinking is the wrong starting point

Why AI-first workflow thinking is the wrong starting point

Before AI enters a workflow, you need to understand what that workflow actually is. Here's the methodology behind the AI Workflow Sprint

How AI Workflow Sprints can get HR unstuck

How AI Workflow Sprints can get HR unstuck

In 2026, experimentation is no longer enough. Here's the method that takes HR from scattered pilots to decisions that compound.

What it actually takes to become an AI Facilitator

What it actually takes to become an AI Facilitator

A practical guide to becoming an AI Facilitator: the role, the skills, the three core methods.

What no one tells you when you start facilitating AI workshops

What no one tells you when you start facilitating AI workshops

Your workshop skills transfer to AI facilitation — but the context changes more than you expect. Here's what's different...

Everyone claims to be an AI Facilitator. Here's what actually separates them.

Everyone claims to be an AI Facilitator. Here's what actually separates them.

Some facilitators lead with skills. Some with energy. Some with certifications. Some with outcomes. Here's how you to chose the right one.

You're ready to hire an AI Facilitator. But are you ready to lead one?

You're ready to hire an AI Facilitator. But are you ready to lead one?

Hiring an AI Facilitator isn't enough. The five organizational conditions that determine whether the role will succeed or fail.

The first 90 days as an AI Facilitator: how to go from ambiguous mandate to a system that scales

The first 90 days as an AI Facilitator: how to go from ambiguous mandate to a system that scales

The first three months are about building the foundation for a system that produces better AI decisions at scale — and here's how it works.

The AI Facilitator: the role that could save your AI investment — if you only knew about it

The AI Facilitator: the role that could save your AI investment — if you only knew about it

The AI Facilitator doesn't own the problem or the solution. They own the decision-making process.

How to prepare an AI Workflow Sprint (before anyone enters the room)

How to prepare an AI Workflow Sprint (before anyone enters the room)

Most AI sprints fail before they start. Here's how to prepare one that actually delivers.

What is the AI Workflow Sprint?

What is the AI Workflow Sprint?

A practical method for leaders responsible for making AI work inside large organizations.

The AI Lab: the system behind successful AI transformation

The AI Lab: the system behind successful AI transformation

AI transformation rarely fails loudly — it fades into pilots and politics. This reveals the hidden system that makes it stick.

Design Sprint Academy - What we are, and what we're not

Design Sprint Academy - What we are, and what we're not

We're in the decision quality business. Read before bringing us in for a sprint, an AI initiative, or a high-stakes call

Best AI Workshops for enterprise teams: a buyer's guide

Best AI Workshops for enterprise teams: a buyer's guide

The three-goal frame for buying AI workshops: learn, decide, build. Each goal needs a different vendor. Buy the right one.

P.A.L.T - the framework Anthropic accidentally proved with Claude Cowork

P.A.L.T - the framework Anthropic accidentally proved with Claude Cowork

We break down Anthropic’s Cowork launch with P.A.L.T.—a framework for spotting the AI problems users can’t yet name.

How to build an AI Lab — the only 3 things that matter

How to build an AI Lab — the only 3 things that matter

A safe way to explore AI without disrupting core delivery—so experimentation stays governed while the business ships—every day.

How to build a scalable AI Adoption System (in 90 Days)

How to build a scalable AI Adoption System (in 90 Days)

And a sneak peek into our AI Adoption Map for financial institutions

Why AI initiatives need AI Discovery Pods

Why AI initiatives need AI Discovery Pods

How AI Facilitators can assemble the right AI Discovery Pod

The AI Problem Framing Canvas: a fix for AI decision fatigue and politics

The AI Problem Framing Canvas: a fix for AI decision fatigue and politics

A diagnostic for product and innovation leaders sitting on too many AI ideas and not enough confidence about which to back.

How to use the AI Problem Framing Canvas

How to use the AI Problem Framing Canvas

A practical step-by-step guide on how to fill it in and when to use it.

A practical guide to define AI use-cases - AI Problem Framing

A practical guide to define AI use-cases - AI Problem Framing

AI Problem Framing is a one-day structured workshop that helps teams define, prioritize, and align on high-value AI use-cases.

What is an AI Facilitator

What is an AI Facilitator

The role that makes AI real by orchestrating the thinking, decisions, alignment that AI requires at every level of the organization.

Build smarter with AI: A blueprint for senior leaders stuck between AI ambition and execution

Build smarter with AI: A blueprint for senior leaders stuck between AI ambition and execution

The blueprint for AI success? Stop building rockets. Start pointing them. The companies winning aren't the loudest. They're the clearest.

The most important role you haven't hired yet: The AI Facilitator

The most important role you haven't hired yet: The AI Facilitator

The AI Facilitator is the role every company will need. Here’s the full job description template to hire your first one.

Five reasons teams need an AI Facilitator (and what each one looks like in practice)

Five reasons teams need an AI Facilitator (and what each one looks like in practice)

The five concrete organizational problems an AI facilitator solves — and why this is the role of the future.

How to start your AI transformation: a guide to choosing the right partners

How to start your AI transformation: a guide to choosing the right partners

Know where you stand on AI Clarity and AI Maturity. It’s the fastest way to choose the right partner — and avoid the wrong one.

How HR can lead the AI Transformation

How HR can lead the AI Transformation

AI adoption stalls without structure. HR can lead it by aligning leadership, framing high-value use cases, and testing solutions fast.

AI Problem Framing 101: what it is, why it matters, and how to use it in your organization

AI Problem Framing 101: what it is, why it matters, and how to use it in your organization

A fast, structured method to align teams on the right AI problems—so you stop building harder and start building what matters.

How to Operationalize the Product Operating Model, the Double Diamond, and Design Thinking

How to Operationalize the Product Operating Model, the Double Diamond, and Design Thinking

The missing link between concept and execution: AI Problem Framing and AI Design Sprints

Quibi spent $1.75B on a problem no one had: the 4U Framework lesson

Quibi spent $1.75B on a problem no one had: the 4U Framework lesson

The 4U Framework — Unworkable, Unavoidable, Urgent, Underserved — diagnoses why Quibi spent $1.75B on a problem no one actually had.