Ai for Business

  Over the last few days, there's been a lot of excitement around a UK court case where an AI law firm helped win a legal dispute. Most of the conversation has been about whether AI is replacing lawyers. I think we're asking the wrong question. What caught my attention wasn't just the courtroom victory. It was something much more fundamental. AI changed the starting point. 💡 Instead of beginning with a blank page, the claimant was able to prepare documents, organise evidence and build a strong foundation before expert legal representation became necessary. That changes the economics of accessing expertise. And that's a pattern we're beginning to see far beyond the legal profession. Whether it's consulting, patents, compliance, accounting or customer support, AI has the potential to make expert services more accessible by reducing the effort needed before the expert steps in. To me, that's the real story behind the headlines, and one that has implications fo...

  💡 “Haven’t we solved something like this before?” If you’ve worked in an equipment company where every order becomes a project, this question probably sounds familiar. Yet, despite years of accumulated experience, teams often find themselves recreating proposals, revisiting engineering decisions, and relearning lessons that already exist somewhere — buried in folders, reports, systems, or simply in people’s memories. As organizations grow, knowledge grows too. But the ability to reuse that knowledge efficiently often does not. In my latest article, I explore: 🔹 Why project-driven organizations struggle to reuse knowledge 🔹 The hidden cost of “forgotten expertise” 🔹 How Generative AI is changing the way companies can access and build on their accumulated experience Would love to hear your thoughts — have you seen this challenge in your organization? Further read : https://www.rajashreerajadhyax.com/post/when-every-order-is-a-project-why-is-knowledge-so-hard-to-reuse #Generativ...

  Recently, the founder of an Engineer-to-Order (ETO) biotech equipment company shared a common challenge. A custom bioreactor at a pharmaceutical plant suddenly stopped working. The field engineer was on-site, but the error was unusual. Manuals existed. Service notes were available. Yet finding the right solution took multiple calls, discussions, and document searches. 💡 His observation was simple but powerful: "The challenge is not that we don’t know enough. The challenge is finding the right knowledge quickly enough." This is a reality many field engineers face every day. ⚙️ Valuable troubleshooting knowledge is often: • Stored in people's memories rather than systems • Scattered across manuals, emails, and service records • Difficult to access when time is critical 📊 Modern equipment generates huge amounts of data, but data alone doesn't explain what's happening. Engineers still need context, past experiences, and machine-specific knowledge. 🤖 This is where...