Conway’s Law holds systems reflect structures of the organizations that build them. AI systems simply make that reflection louder, faster, and harder to ignore.
Sabbatical Day 7: One thing leads to another?
Systems theory holds a simple truth: every part of a system influences the rest. No action is isolated. No choice is …
Sabbatical Day 6: Predictive or generative
Predictive systems learn from patterns. Generative systems create new options. Generative AI expands value over reducing cost.
Sabbatical Day 5: Going for baroque
Rodrigo’s Concierto Andaluz is a wonderful piece of Baroque influence and Andalusian warmth composed around four guitars and an orchestra. In …
Sabbatical Day 4: Perception is possibility
Technology exists to solve problems. Patterns need process to reveal opportunity. Contrast can shift when small technical adjustments alter ways of work is done.
Sabbatical Day 3: Fault in default
The motivation to maintain the status quo, even when at odds to our interest, cause many to just defend the current state. This argues against originality.
Sabbatical Day 2: Quality vs. quantity
September focused on Artificial Intelligence upskilling. October/November AI product engineering and vibe coding experimentation. This month offers something different: a full …
Sabbatical Day 1: Reset to advance
First sabbatical post with a change in location: Spain. This sabbatical offers time to reflect, upskill, and discover.
Buyer persona approach with an organization development twist
A buyer persona is a commonly used approach that helps designers understand customer motivation and behavior. With a buyer persona in …
Artificial Intelligence merger revolution
Mergers fail up to 90 % of the time because integration collapses under complexity. Artificial Intelligence changes that math. From due diligence to culture alignment, AI tools enable seamless insight across systems, data, and people. The result: faster integration, fewer blind spots, and measurable returns that redefine what success looks like in M&A.
Human capital risk: leverage data for strategic investment
Strategic acquisitions are human capital investments. Conventional measures often fall short to forecast an individual’s or team’s correlation to predict future …
Why is governance so gloomy?
When corporate-bound (see: handcuffed) professionals hear the term “governance”, their minds often jump through layers of bureaucracy, rigid rules, endless meetings, …
Against Empathy by the book
Empathy is often hailed as a virtue that enhances our moral compass, Paul Bloom asserts that it can lead to biased and harmful decisions.
Lean trumps Agile
Transformation failure is on leadership. Change principles live or die on leadership connecting vision to value. Agile does not scale without …
Agile icebreaker
This Agile icebreaker uncovers work environment change. This exercise for training and workshops takes focus away from templates and certifications, that rarely matter, and shines a light onto actual adoption.
Fast Start — More toxic workplace
Fast start conversation: Open-plan office space. All the rage. Well, this office space plan may cause a genuine type rage far …
Machine Learning: The new corporate crush
Machine learning has replaced “big data” as the corporate buzzword du jour. Beyond hype, machine learning can automate predictions, detect fraud, and personalize experiences. But when organizations rush to adopt without understanding what they teach their machines, they risk automating bad decisions at scale. Machine learning reflects the culture behind its data: disciplined thinking leads to smarter outcomes, while bias and bureaucracy only accelerate confusion. The real differentiator is not who has the smartest machine—but who still has people capable of asking why.
Interview for experience
Change rarely arrives as a calendar invite. It shows up as a customer complaint, a missed handoff, a contract that moves too slowly. Leaders who interview for experience hear what their people already know.