From Booklet to Lasting Program | Executive Advantage

A team came to us with two things. A hard story about grief, lived and not researched. And a sixty-page booklet they had been handing out for years.

The booklet worked. For one kind of reader, in one kind of moment. Outside of that it fell flat, and they knew it. The language had aged. The framework assumed an audience that no longer showed up. They were sitting on something real and watching it lose reach every year.

The easy move was a reprint. New cover, tighter copy, same booklet. Most people stop there, because the booklet feels like the asset.

The booklet was never the asset. The framework underneath it was.

So we rebuilt from the framework up. Using AI to deepen the research and pressure-test the language, they turned a thin pamphlet into a full book. Then a train-the-trainer curriculum, so the method could travel without the founders in the room. Then a small-group program. Then a separate secular version, stripped of the original framing, built for public agencies that could never have used the first one.

One booklet became a family of products. Each reached people the pamphlet never could. And because the framework was now written down, tested, and modular, they could keep updating it as the research and the language moved. The asset stopped aging. It started compounding.

Expertise that lives in one head, or one thin document, is expertise on a countdown.

Here is the part worth sitting with. None of this required them to become technical. It required them to stop treating their expertise as a document and start treating it as a system. AI did the heavy work of research, drafting, and adaptation. The judgment about what was true and what mattered stayed with the people who had earned it.

The cost of skipping that move is bigger than most leaders let themselves see. In one Harvard Business Review study of expert knowledge, a single organization expected to lose more than 27,000 years of experience in one wave of roughly 700 retirements (Harvard Business Review, 2014). Organizations feel this coming, too. 75% told Deloitte that creating and preserving knowledge across a changing workforce is important or very important to their success (Deloitte, 2020). Feeling it is not the same as fixing it. Fixing it looks like the booklet rebuild. You write the framework down, test it, and turn it into something that teaches without you.

That is the difference between using AI and building with it. Using AI, they would have gotten a faster reprint. Building with it, they got an asset they can teach, license, and grow for years.

Most executives are sitting on a framework like that booklet. A method they teach the same way every time. A judgment call they make so often it has become a pattern. It lives in their head and a few slides, and it loses value every year it stays there.

It does not have to. Book a discovery call. Bring the thing you already know how to do. We will build it into something that lasts.

Sources

Harvard Business Review, 2014. In “What’s Lost When Experts Retire,” Dorothy Leonard, Walter Swap, and Gavin Barton report an organization anticipating the loss of over 27,000 years of experience from a coming wave of almost 700 retirements, a measure of how much undocumented expertise walks out the door. https://hbr.org/2014/12/whats-lost-when-experts-retire
Deloitte, 2020. Deloitte’s Global Human Capital Trends survey found 75% of organizations rate creating and preserving knowledge across evolving workforces as important or very important to their success, while far fewer act on it. https://www.deloitte.com/us/en/insights/topics/talent/human-capital-trends/2020/knowledge-management-strategy.html