Asghar Mirzaie

For the small business owner, the issue is seldom an “AI problem”. It is a matter of workflow, and AI is there to address it provided the scope is right. The difference is worth noting: some 80% of AI projects come to nothing, and you will not see a bad model as the cause. More […]

You get the contract over email. Some one will download it, give it a new name and put it in front of legal. After you have waited and followed up, you get back a revision to pass on to finance, and the final version ends up in a shared drive that is not exactly trusted […]

You will find that the majority of teams don’t have an automation problem per se. They have a process issue and their automation is only serving to highlight it. An invoice sits there for a manual touch, a demo request comes in to an inbox, or some Zap goes quiet because a column was renamed […]

You will not find most enterprise workflow automation projects failing in the engine. They fail in the seams: with a legacy system that has the data, an approval sitting in some inbox, or an exception you did not put in your plans. From the outside, adoption appears to be in good health. Some 70 to […]

You can put together the least expensive AI SaaS product in a hurry, and it is the easiest to put out of business: just a chat box of sorts on top of a hosted model. The playbooks from 2024 through 2026 will tell you that an MVP for AI software can be put in place […]

You won’t find the hard part of an ERP AI bot in the model itself. It is in the periphery: the data plumbing, identity and audit concerns, change management, and the thorny issue of who to blame when the bot makes a mistake. The numbers bear this out. Stanford’s 2026 AI Index tells us 88% […]

At your next product meeting you will hear it: “We can put an agent around it, or fine-tune later and let RAG handle the rest.” You will find yourself nodding along with the room, even as you ask yourself if you have just committed to a chatbot, a search engine or some kind of autonomous […]

You could say the average loyalty program is little more than a coupon dispenser with a points ledger. A customer will sign up, put your emails in the junk folder and only ever redeem what was already on their shopping list. The program chugs along but it does not learn. If one of your regulars […]

“Remind me to put in a call to the bank and get a dentist appointment for tomorrow,” a user might type. Your app is left with one muddled task rather than two. No crash, no refusal from the model, it simply failed to parse the sentence as you would have. You could call this the […]