Business Management | Arete Coach 4/17

Book Smart, Street Smart, and the Machines We Now Work With

Most of us grew up hearing about two kinds of intelligence. Book smarts belong to the person who masters the material, remembers the research, and can explain a concept cleanly on demand. Street smarts belong to the person who reads a situation quickly, notices what is going unsaid, and knows which rules can bend and which will break something if touched. The distinction has endured because it captures something most of us have seen firsthand: knowing a great deal and knowing

Oct 224 min read

Are your leaders “Quiet Cracking”?

In recent years, the corporate world has been preoccupied with Quiet Quitting: the phenomenon of employees doing the bare minimum while they look for an exit. But for executive coaches and C-suite leaders today, a more destructive trend has emerged: Quiet Cracking. Unlike those who are checked out and waiting to leave, people who are cracking aren't trying to quit. They are often your high-performers, your long-tenured managers, and dedicated specialists. They want to stay, b

Jan 86 min read

15 Lessons from a Transformative Year

In 2025, artificial intelligence evolved from a promising experiment into the backbone of modern infrastructure. As execution gained incredible momentum and information became more accessible than ever, traditional leadership roles underwent a powerful transformation. Rather than sticking to old scripts, leaders embraced a new era of agility and insight, discovering fresh patterns through real-world experience. Here are 15 lessons from this year that empower leaders to thrive

Dec 26, 20254 min read

Bloom’s Taxonomy for AI Capability

Your customer service team wants to “use AI.” But what does that actually mean? Do they need a system that can recall product specifications? Interpret customer sentiment across thousands of interactions? Or, generate tailored resolution strategies in real time? \Without a shared framework to describe levels of AI capability, organizations struggle to match business needs with the right technical solutions. The result is often misalignment: either investing in systems more so

Dec 17, 20254 min read

50 AI Use Cases To Architect for Advantage in 2026

The companies pulling ahead aren't running more AI projects. They're running different ones. They've moved from isolated point solutions to integrated systems where AI agents decide, execute, and learn. Consider a supply chain disruption. The lagging approach: AI flags the risk, sends an alert, waits for human intervention. The leading approach: AI detects the anomaly, assesses alternative suppliers, recalculates routes, simulates financial impacts, drafts stakeholder communi

Dec 12, 20254 min read

Your Crawl, Walk, Run Roadmap to Algorithmic Advantage

The broad, foundational understanding that AI exists is now a universal truth of modern enterprise. The question now becomes: "How, specifically, do we harness it to create immediate value and secure our long-term competitive edge?" The gap between awareness and execution is where market leadership is won or lost. To navigate this new terrain, we recommend a Crawl, Walk, Run approach. Stage 1: Crawl - Mastering the Browser-Based Prompt The "Crawl" stage is about democratizing

Dec 1, 20255 min read

The Assumption Bias Mitigation Protocol: A Leader's Framework for Verifying AI

Companion article to: "The AI Confidence Trap: When 85% Certainty Is Dangerously Wrong" Your AI will deliver a sophisticated analysis with 85% confidence. You will act on it. And the recommendation may be catastrophically wrong. This happens because AI confidence measures pattern matching , not information completeness . High confidence paired with low context is a recipe for systemic, high-stakes errors. The solution is not to discard these powerful tools, but to impose disc

Oct 22, 20256 min read

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