-

For decades, IT held the keys – GenAI changed the locks.
For a long time, IT departments were gatekeepers and some of them seemed to really enjoy the role, that power. They knew how to code. They held the keys to anything that got built. That gave them control over the timelines, the budgets, the requirements, and the results, with very little anyone could do about…
-

AI did not fail you. You skipped the work.
I wrote recently about executives who claim big gains from AI they cannot name. Now let’s talk about another person in the same room. The one who tried AI once, got a weak answer, and now tells everyone the whole thing is oversold. It makes things up. It is not that good. Case closed. It…
-

Your team is getting big gains from AI. Name one.
A few months ago I was chatting in a small circle at an industry event with other leaders and a senior executive described how well his team was using AI. Big gains, he said. Real results. Out of curiosity and potential for us all to learn more – someone asked him to name one. One thing…
-

Understanding Risk When Building a GenAI Business Case
Generative AI is at an interesting crossroads. In the last couple of years, enterprise IT has changed significantly and AI is a major reason why. The technology is powerful, but it has taken time to understand how to manage it and make it perform reliably inside real organizations in service of real outcomes. We’re now moving past the loudest…
-

Your Commerce Replatform Is Already Behind
The #1 reason commerce replatforms blow up isn’t the technology. It’s the product data, customer records, and pricing logic nobody cleaned up first. I sat across from a VP of Digital at a mid-market retailer last year. She opened the meeting with five words: “We need a new platform.” I’ve heard that sentence dozens of…
-

From Hype to ROI: How to Execute a Successful AI Proof of Value (PoV)
We’re in the middle of an AI gold rush. Every boardroom, from the Fortune 500 to agile startups, are echoing with the mandate: “AI everywhere.” Yet despite the excitement, many AI initiatives stall before they ever deliver value. The problem usually isn’t the technology. It’s the approach. Too many organizations treat AI as an experiment…
-

Your Experts Are Not Data Entry Clerks: How Conversational Elicitation Helps Teams Move Faster
In a lot of organizations, the most valuable experts are still losing hours to the same unglamorous step: pulling information out of files, systems, and people before they can do the work they were hired to do. They are chasing dates, checking spreadsheets, comparing PDFs, rewriting half-answers, and asking follow-up questions that should have been…
-

AI, ServiceNow, And Disruption: Don’t Automate Your Way Out of Strategic Thinking
Disruptive innovation is one of those business-school phrases that got popular enough to be used incorrectly in boardrooms. People started using it the way they use the word “strategy,” as a compliment. That product is disruptive. That startup is disruptive. We need to be disruptive. Clayton Christensen meant something more uncomfortable. In the 1990s, Christensen, a…
-

AI Adoption: Training Is the Key
Part 3 of the Systemic Shift to Scaling AI from Pilot to Scale series, examining how organizations can transform AI initiatives into enterprise-wide value In our previous post we covered Phase 1, the mental shifts required for AI and the steps involved in Setting the Foundations for scalable AI (getting your executives aligned and your…
-

We Built an AI Certification Coach for Our Team
Nobody within the Salesforce Practice at Ateko touches client work without a Salesforce certification. That’s been the rule since the company was founded. It’s a good rule. Certifications don’t teach you something, but they serve as a bar, proving you know the platform well enough to be trusted with someone else’s business. But rules like…
