Few CEOs Cracked The Code On How To Scale AI. Learn What They Do Differently.
Only 5-7% of companies achieve real business impact from their AI investments, while most see little to no return. The key difference is not how much they invested or the tools they bought. Join us for a 3-hour CEO Mastermind, called the AI Clarity Roundtable, to get an honest look at where AI is headed, who's winning, and what separates them from everyone else.
THE SITUATION
Most CEOs Are Investing In AI. Only A Small Fraction Are Getting Compounding Results.
The data is clear. Across industries, AI adoption is accelerating — and most companies are seeing real results. Faster content, leaner workflows, and time back in the week. McKinsey finds that 88% of companies now use AI in at least one business function, and productivity gains of 30–40% are becoming the norm for teams that have embraced it.
But there's a second number that doesn't get talked about as much.
According to BCG's 2025 study of more than 1,250 global firms, only 5% of companies are seeing compounding gains, tangible business impact, and a competitive advantage that increases with every cycle. That group expects twice the revenue growth and 40% greater cost reductions than everyone else by 2028. And they're reinvesting those returns to pull further ahead.
The difference between the two groups isn't the budget. It isn't headcount. It isn't how long they've been using AI. They are doing things structurally different.
"I think that we're going to have human-level performance on most, if not all, professional tasks. So white-collar work, where you're sitting down at a computer, either being a lawyer or an accountant or a project manager or a marketing person — most of those tasks will be fully automated by an AI within the next 12 to 18 months."
Mustafa Suleyman
CEO of Microsoft AI, Financial Times, February 2026
You Are Doing Everything Right. So, Why Does It Feel Like Something Is Missing?
Your team is using AI. You're seeing the efficiency gains. You're investing, experimenting, and iterating. On paper, you're doing what you're supposed to do.
And yet — somewhere in the back of your mind — there's a question you haven't said out loud. You're watching certain companies implement agentic systems, talk about compounding returns, and describe AI as a genuine business advantage. And you're wondering: what do they know that I don't? What are they doing differently? Why isn't that happening here?
That's not imposter syndrome. That's a signal. It means you already know that what you're building right now is not the same thing they're building. You just haven't been able to name why — or what to do about it.
That's exactly what this session is designed to explore.
What you'll take away
- A clear name for what's been holding your AI strategy back
- An honest read on where you stand versus the companies scaling successfully
- A first-draft direction for your next 12 months, sharpened by the room
- A 30-day commitment you leave ready to act on
What changes after this session
You walk in with a nagging sense that other companies are getting something you're not — and no clear name for it. You walk out knowing exactly what's been holding you back, what the companies pulling ahead are doing differently, and what to build first to close the gap. The confusion becomes a direction.
A 3-Hour Working Session With Clear, Actionable Outcomes
This is a facilitated room, not a slide deck. You'll do real thinking about your own business, alongside a small group of CEOs facing the same questions. Here's what happens.
Why your AI gains feel good but aren't compounding.
You're seeing efficiency — faster content, leaner workflows, time back. But there's a difference between getting faster at what you already do and building something that compounds. You'll learn to see which one you're actually doing.
What separates the 5% from everyone else.
Only a small fraction of companies are turning AI into real, compounding business advantage. It isn't budget, tools, or how long they've been at it. You'll see exactly what they're doing structurally differently — and where you sit relative to them.
The real reason you haven't gone all-in.
Every CEO has a reason they've held back — the right hire, cleaner data, more proof, not yet convinced. You'll uncover the pattern underneath all of them, and why it's the thing actually keeping you stuck.
What to build in the next 12 months.
AI agents are becoming the norm faster than most companies are prepared for. You'll leave understanding what to strategically build now — before the wave hits — instead of staying busy at the surface.
Upcoming Roundtables
July 8th, 2026 | London
Oct 16th, 2026 | Cleveland, OH
Nov 2nd, 2026 | Glasgow
Don't see your city? Request a session, and we'll find a date and location that works. [Request a session →]
IS THIS FOR YOU?
This Is Built For You If
This is for you if:
- You're the CEO of a B2B company ($5M–$25M) with a complex sale and a long buying cycle
- Your team is already using AI, but without shared standards or consistent results
- You want clarity before investing further in tools or headcount
- You're decisive when the path is clear — you just need the path
This isn't for you if:
- You're looking for someone to run AI for you
- You want a product demo
- You need a committee sign-off for a half-day investment of your time
WHY THIS FORMAT?
Why A CEO Roundtable, Not A Course
There's no shortage of AI content. What's missing is a room where B2B CEOs can be honest about where they actually are — without the vendor pitch, without the hype, and without the pressure to pretend they have it figured out.
Six to eight people. Peer-level conversation. Fully facilitated. In person.
The format matters because the insights that actually shift your thinking rarely come from a slide deck. They come from hearing another CEO say the thing you've been quietly thinking — and realizing there's a clear path through.
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Meet Hannah
Hannah Eisenberg is the founder of TrustLeader and the author of Lead With Trust (2025) and From Scattered to Scaled AI (Coming Fall 2026). She helps growth-stage B2B CEOs move from scattered AI experimentation to AI that scales — building the documented knowledge and standards foundation that makes AI output trustworthy, consistent, and genuinely hard to copy.
Over more than 15 years in B2B marketing and go-to-market, Hannah has worked with technical companies navigating complex sales, long buying cycles, and committee decisions — the exact environments where generic AI falls apart.
Her work focuses on the gap most CEOs miss: the difference between using AI on top of existing processes and building a foundation that lets AI compound. She facilitates the AI Clarity Roundtable to help CEOs find that clarity for themselves, in a room of peers.
Prefer A Private Session?
Do you crave clarity around your AI strategy but would prefer a private session that is completely tailored to your company's needs?
We offer a Scalable AI GTM Roadmap Session: a four-hour deep-dive with your leadership team that diagnoses your specific situation, maps your 12-month AI direction, and creates a concrete 90-day action plan.
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