Gartner predicts that over 40% of agentic AI projects will be canceled by the end of 2027, citing rising costs, unclear business value, and inadequate risk controls (Gartner, 2025). For anyone who has spent time inside an enterprise AI initiative, that...
Katherine Lemus
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The Question That Decides Whether Your AI Agent Survives the First Year
Most teams building AI agents ask the wrong question first. They open with "What can this agent do?" — and spend months optimizing capabilities, workflows, and interfaces. Then they get closer to the launch date and realize they never asked the question...
Why Most Companies Are Stuck in AI Pilot Purgatory
AI pilots currently running across most companies will never grow to scale. According to McKinsey’s “The State of AI in 2025” report, published in late 2025, 88% of organizations use AI in at least one part of their business (McKinsey, 2025). Yet, in...
How I Know From the First Meeting Whether an AI Project Will Succeed
Most AI projects don’t fail because of the technology. They fail because of who was – or wasn’t – in the room when the decisions were made. This is one of the most consistent patterns I observe when working with companies across industries and company...
Why Your Products Are Invisible to AI and What You Can Do About It
When a potential buyer asks an AI model for the best solution in your product category, does your company’s name come up? For most businesses, the honest answer is no, and that is a problem that Search Engine Optimization alone will not fix. A...
AI Agents Are There Already At Massive Scale
The era of AI experimentation is over. In 2026, agentic AI is no longer a strategic consideration for the future. It is today’s operational reality, and companies that fail to recognize this shift are starting to fall behind. According to Gartner, the...
When You Don’t Build AI Agents – It Matters
Most software vendors right now are calling their products “AI agents.” But, not every vendor is actually selling AI agents. Most of them are delivering something different, and that distinction matters more than most business leaders realize. Here is...
AI Spending and Production Adoption Playbook
The world will spend $2.52 trillion on AI in 2026, a 44% increase from last year (Gartner, 2026). 88% of organizations have reported using AI in at least one business function. Yet, only 31% have begun to scale it (McKinsey, 2025). The era of exploring...
AI-Driven Enterprise Transformation Trends 2026-27
The technological architecture of the modern enterprise is undergoing a fundamental reconfiguration. As we enter 2026, artificial intelligence has migrated from experimental pilot programs into the core operational processes of high-performing...
AI-Enhanced Boardroom Risk Navigation
The Boardroom Has a New Member — And It Doesn't Have a Chair Every executive walking into a boardroom meeting in 2026 carries something their predecessors never had: a digital context backpack — an AI-curated intelligence layer containing relevant...
Meeting Intelligence – Why Recording Meetings Doesn’t Change Productivity
Meeting recording and transcript don't really matter. Meeting intelligence matters in AI times, especially when companies want to be using AI properly. If managers want to multiply productivity and lower the cost of meetings, putting people more focused...
AI-Driven Uncertainty in Management Insight
Managers need to consider the future differently. Deterministic times are over. The probabilistic times are coming. That means managers need to focus on the different perspective and experience that it used to be and invite domain experts and different...
