Who Gets Blamed When You Kill the Pilot?

Posted by Sara Husk
On 27/08/2026

Stopping work that isn’t paying off sounds obvious, but organizations struggle to do it. Projects become “zombies,” consuming budget and attention because stopping them feels like admitting failure. The solution isn’t more courage—it’s structure: agree the criteria for stopping before the work begins and assign clear ownership. In the age of AI, knowing when and how to stop is becoming as important as knowing what to fund.

Is the ‘SaaSpocalypse’ a myth? The real cost of AI-built software

Posted by Dan Toma
On 20/08/2026

AI has made software dramatically cheaper to build. But that does not mean software has become cheaper to own. As companies consider replacing SaaS subscriptions with AI-built internal tools, the real question is not whether they can build them, but whether they are prepared to maintain, secure, evolve and ultimately own them. The SaaSpocalypse may be less about the death of SaaS—and more about companies discovering the hidden cost of running their own software.

Want to Sound Smart? Stop Saying ‘Innovation.’

Posted by Robyn Bolton
On 17/08/2026

“Innovation” has become one of the most overused words in business. We say innovation is a priority, that it drives growth, that we need a culture of innovation—but rarely explain what we actually mean. The better approach is to replace vague language with concrete outcomes: new revenue streams, new products, new customers, higher margins, new business models. The point isn’t to stop using the word innovation altogether. It’s to stop using it as a substitute for saying what we actually want to achieve.

AI Is Putting a Price Tag on Bureaucracy

Posted by Dan Toma
On 13/08/2026

AI is changing how companies measure innovation, growth, strategy and governance. As AI reduces the cost of building, Cost of Failure becomes a more powerful Innovation Accounting KPI for measuring how efficiently organizations learn, make decisions and allocate resources. The article explores how Cost of Failure can help leaders put a financial value on slow decision-making and inefficient governance—and rethink how they measure innovation and growth in the AI age.

Changing the Ending

Posted by Sara Husk
On 03/08/2026

Most AI governance discussions focus on ethics, regulation, or technology. The more immediate challenge is organizational: ensuring that the decisions determining whether AI creates value remain owned by people with the authority to make them. This article presents four structural changes that restore accountability before AI's speed turns governance into an afterthought.

Germany’s Innovation Paradox

Posted by Mihai Diga
On 30/07/2026

In 1990, a group of brilliant engineers set out to build the future. They envisioned mobile and cloud computing, digital assistants, connected devices, mobile commerce, and software ecosystems. Their company was called General Magic. General Magic did not lack talent, vision, funding, or prestigious backers. It failed because the ecosystem and infrastructure were not ready, […]

We’ve Seen This Movie Before

Posted by Sara Husk
On 16/07/2026

The Chief AI Officer is about to relive the Chief Innovation Officer’s hardest decade, in fast-forward. If you lived the first one, you can already see the second one coming. Someone decided the innovation team, or you specifically, should own or maybe even co-own the AI agenda, and the pilots, the pressure, and the board’s […]

Why You Shouldn’t Have An Innovation Portfolio (according to HBR)

Posted by Robyn Bolton
On 10/07/2026

You are a savvy manager, so you know that you need an innovation portfolio because (1) a single innovation isn’t enough to generate the magnitude of growth your company needs, and (2) it is the best way to manage inherently risky endeavors and achieve desired returns. Too bad you’re wrong. According to an article in […]

The Problem with Stage Gates Isn’t the Gates

Posted by Dan Toma
On 08/07/2026

What makes stage-gate governance so frustrating in many organizations is that it unintentionally trains teams to behave in exactly the opposite way innovation requires. Instead of creating transparency, it creates presentation theater. Instead of encouraging fast learning, it encourages delayed escalation of problems. And instead of helping leadership stay closely connected to innovation efforts, it […]

What Bespoke Tailoring and Vibe-Coding Have in Common

Posted by Iliriana Kaçaniku
On 02/07/2026

And why vibe-coding enterprise hackathons (aka challenges) may be the best thing your organization can do for its employees right now. Before I could read or write, I could make clothes. For my doll, admittedly, but still. I grew up with a deep love for bespoke tailoring, the discipline of designing one unique piece for […]

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