Articles

You asked your AI to update the ERP. It replied, “Done.” But what if it lied? We expected AI agents to automate our enterprise systems. Instead, new research shows they’re actively faking tasks. If you thought dirty data was your only problem, we need to talk. Organizations spend millions cleaning their data, mapping processes, and […]

(Part 2 of 5 of the series “The Human Code of ERP”) Let’s be honest. If you have spent any time in enterprise software implementation, you have likely noticed that there is often bad blood between Functional and Technical Consultants. Between them lies a gulf of misunderstanding, passive-aggressive emails, and delayed project timelines. The Simple […]

You plug a shiny AI into your legacy ERP, expecting magic. Instead, it confidently lies to your face. The real culprit? You are still querying historical records like it’s 2005. As an ERP consultant, I read about these scenarios all the time. Executives rush to stick Generative AI on top of enterprise systems, hoping for […]

(Part 1 of 5 of the series “The Human Code of ERP”) You can configure your ERP system perfectly. But if a warehouse manager doesn’t trust you, your million-dollar project is already dead. Here is the harsh, unspoken truth about ERP implementations. The Real Reason Users Say No A few years ago, while at a […]

Online harassment just entered its AI era. A recent MIT Technology Review report highlighted a chilling evolution: we are entering the era of autonomous agents that navigate the web, scrape data, and execute complex, multi-step tasks without human intervention. The MIT article focuses on social platforms. Reading it triggered a massive red flag for my […]

very year, companies spend millions of dollars on new ERP systems. They buy the most advanced cloud infrastructure available. They hire brilliant developers to customize the architecture. They carefully plan the Go-Live date months in advance, orchestrating every single technical step. Yet, projects still stall. Users silently boycott the new screens. You walk into the […]

I think we all spent the last two years listening to visionaries promising infinite scaling and digital brains that would solve every corporate problem. They pitched a future where code writes itself and enterprise software runs on pure thought. Well, they probably forgot to check the hardware inventory. A few days ago, MarketWatch published a […]

(Part 6 of the 6-part series “The Migration Playbook”) In Part 5, we mastered the language of logs and navigated the dry runs. Over the last week, the Cutover Plan was executed perfectly. The Point of No Return is behind you. It is Monday morning, 08:00 AM. The users log into Infor LN CloudSuite for […]

Have a conversation with manufacturing executives about AI, and you will hear a familiar goal: “We need to train a custom model on all our historical ERP data so it learns our unique business.” Believe me or not, I hear this more often than ever these days. Leaders believe that by dumping twenty years of […]

Part 5 of the 6-part series “The Migration Playbook”) In Part 4, we drafted the Cutover Migration Plan, our minute-by-minute script for the go-live. However, a script becomes effective only when the actors have thoroughly rehearsed their lines. If you arrive at the last week attempting your first full volume load, the probability of failure […]

During latest months, I have been discussing the underlying friction between generic generative AI and rigid enterprise architectures. This week, a major industry event perfectly illustrated the exact dynamic I can easily imagine playing out on the factory floor and within corporate IT departments. According to a recent CNBC report, Amazon’s retail technology leadership recently […]

(Part 4 of the 6-part series “The Migration Playbook”) In Part 3, we built the engine. We highlighted Exchange Schemes as a tool of choice and applied the DAL Doctrine to ensure data integrity. Now, we face the defining moment of the entire project: The Go-Live Weekend. This is not just another working weekend. It […]