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Showing posts from March, 2026

The Contact Center Is Dead: Long Live the Operations Layer

We have been lying to ourselves since, well, basically since forever. We placed customer support agents into a padded room called the "contact center," handed them a ticketing system, and told them to keep the angry people away from the rest of the business. We tracked average handle times; we cheered when a routing algorithm saved a fraction of a second; and we pretended that managing an interaction was the same thing as solving a problem. Deflecting an issue was the holy grail. That era is over. The walls of the contact center have been blown wide open, and the debris is currently raining down on the CRM and operations landscapes. The market is shifting from asking the question "who can capture the ticket best?" to "who can actually resolve the problem fastest?” Which is an entirely different category of question. And far more meaningful. And as Cameron Marsh from Nucleus Research so accurately pointed out in our recent CRMKonvo, that is a much nastier, ...

The Sovereign Cloud Illusion: Political Fig Leaf or Just Good PR?

The enterprise software market is currently intoxicated by a brand-new buzzword cocktail. If you walk the halls of any major European tech conference today, you will inevitably be assaulted by phrases like "data sovereignty" and "sovereign cloud." Software vendors are practically falling over themselves to announce their compliance with the impending EU AI Act. We are led to believe that a magical new era of localized, ultra-secure computing has arrived. Do not let the marketing brochures fool you. A closer inspection of these architectural marvels reveals that vendor stock prices are the only things reaching the cloud faster than your unsecured customer data. The recent CRMKonvo discussion with Christian Knoll , CEO of Spice CRM , highlighted a glaring disconnect between the political theater of data sovereignty and the concrete reality of enterprise architecture. The narrative being pushed by the major hyperscalers is masterful. They propose that establishing a da...

Agentic Commerce: A Genuine Paradigm Shift or Just Another Vendor Pitch?

The e-commerce industry has been pushing the exact same shopping cart down the exact same digital aisle for the better part of two decades. We have endlessly debated the optimal color for a checkout button. We have deployed massive Customer Data Platforms (to track users across the web. We have implemented traditional Customer Relationship Management tools and a full-on MarTech stack to send personalized emails that usually find a direct way into the spam folder. Yes, despite all this expensive digital plumbing, the average conversion rate stubbornly hovers around a meager two percent. Enter the industry's latest shiny toy: agentic commerce. The vendor pitches are certainly alluring. We are moving away from the tedious "click and wait" era into a frictionless "talk and buy" reality. On the surface, it sounds like a massive leap forward. However, any technology analyst worth a grain of salt must ask the difficult questions. Is this actually revolutionary, or is i...

The Uncomfortable Truth About Enterprise AI in 2026: It's Not Intelligence, and That's a Problem

As enterprises scramble to deploy AI, the Great AI Debate’s eighth installment reveals a widening gap between what vendors are selling and what actually works at scale. Dr. Michael Wu and Jon Reed spent this episode cutting through the hype around language models, domain expertise, and the financial reality of building sustainable AI systems; and they didn’t pull punches about where the field is failing. TL;DR If you want to watch the full CRMKonvo, please go ahead here (optimized for smartphones) or here (optimized for tablets/computers). Else, be my guest and continue to read. Or do both … The Domain Expertise Imperative: Correlation is Not Causation One of the most dangerous, and frankly lazy, narratives pushed by AI maximalists is the idea that artificial intelligence negates the need for deep domain expertise. This is a fundamental misunderstanding of how these models work. As Dr. Michael Wu frequently points out, almost all machine learning and AI systems today are built usin...