Category: AI Innovation

The Problem With Investing Before You’re Ready Boards Are Approving Budgets Nobody Should Approve Yet There’s a version of this story that ends well and a version that doesn’t, and the difference usually comes down to one thing: whether the...

The Question Nobody Asks First Most Leaders Ask the Wrong First Question Here’s the conversation we have more than any other: a CTO or CDO walks in, ready to invest seriously in AI, and opens with, “So which tools should...

The Paralysis Problem Why the Best-Resourced Organizations Are Often Moving the Slowest Here is a pattern that should not make sense but keeps appearing: the organizations with the most resources, the most sophisticated leadership teams, and the most AI-aware boards...

The Paralysis Problem Why the Best-Resourced Organizations Are Often Moving the Slowest Here is a pattern that should not make sense but keeps appearing: the organizations with the most resources, the most sophisticated leadership teams, and the most AI-aware boards...

Hours Times Rates No Longer Works For decades, technology services revenue has had a deceptively simple structure: clients pay for time, partners deliver work. Hours multiplied by rates equals revenue. The model was comfortable. It was also always slightly perverse...

The Disruption Is Coming From Inside the Business What Is Actually Happening to the IT Services Market The enterprise technology services industry is going through its most significant structural shift since cloud. But unlike previous disruptions, this one is not...

Confusing These Two Is Getting Expensive Two Very Different Capabilities, One Very Common Mistake AI Adoption Is Concentrated in the Wrong Places While IT and Marketing Got Copilot, Everyone Else Is Still Waiting Walk into most enterprises and you will...

Confusing These Two Is Getting Expensive Two Very Different Capabilities, One Very Common Mistake Right now, many enterprise technology decisions are being made by leaders who are using ‘automation’ and ‘AI agents’ interchangeably. They are not the same thing. The...

The Wrong Question Has Dominated This Conversation Stop Asking Whether AI Will Replace Workers. Start Asking This Instead. For three years, the enterprise conversation about AI and the workforce has circled the same anxious question: will AI replace human jobs?...

What Agentic AI Actually Means in Practice Agentic AI has become one of those terms that every vendor uses and almost no one defines. It appears in every conference keynote, every analyst report, every product launch. And yet, in most...

A Decade of Chatbot Deployments — and Not Much to Show for It Most enterprises have tried chatbots. They answer scripted FAQs, route support tickets, respond predictably to common questions, and collapse the moment a conversation goes anywhere unexpected. After...

You Have Copilot. Now What? Copilot has done something remarkable: it made AI adoption feel achievable for enterprises that had been skeptical for years. Licensing is accelerating, users are actually using it, and the productivity gains are real. But there...

Recognizing the Shift Is Not the Same as Navigating It Spend ten minutes in any Microsoft partner briefing and you will hear the word ‘platform’ used constantly. Yet the majority of enterprises using Microsoft are not operating a platform —...

Spending More, Knowing Less Here is a pattern that repeats across almost every industry right now: a company has spent real money on AI — Copilot licenses, a chatbot pilot, maybe a data science proof-of-concept — and the executive team...

The Gap That Digital Transformation Didn’t Close Here’s a question worth sitting with: if your organization has spent the last decade digitizing everything — moving to the cloud, implementing ERP, deploying CRM, connecting your departments — why are critical decisions...