AI Strategy
A few months ago, a logistics company came to us wanting to automate their customer complaint handling. Volume was high, the team was stretched, and someone had seen a competitor demo a chatbot at a trade show. We recommended against it. Not because the technology could not do it. It
grapine
Most AI project briefs contain three things: a description of what the business wants, a rough sense of the technology involved, and a lot of assumptions that nobody has written down. The build happens. The assumptions surface. The result was not quite what anyone actually needed. A good brief is
grapine
Most AI projects don't fail because the technology doesn't work. They fail because nobody agreed on what it was supposed to do. The brief was vague. The scope kept shifting. The developer built what they understood, which was not quite what the client meant, which was
AI Engineering
Grapine's founder has been building AI systems for enterprise organisations since before most of the current conversation existed. Not in the sense of reading about it, advising on it, or building prototypes. In the sense of shipping production AI into large organisations and living with the consequences when
Frameworks
When a business commissions an AI implementation, the number they focus on is the invoice. The cost of the build. The line item on the budget. That is the wrong number. The invoice tells you what you spent. It doesn't tell you what the implementation actually costs. And
From the Field
The first thing we do when we audit a business for AI opportunity isn't to talk about AI. We ask questions. Specific ones, in a specific order, designed to get past the self-diagnosis problem, the gap between what a business thinks its biggest AI opportunity is and
AI Strategy
Every business we've audited has come in with a theory about where AI will save them the most time. Every single one has been surprised by what the data showed instead. Not because they were wrong to think AI could help. They were right about that. They were
AI Strategy
Before we automate anything, we sort every task in a business into one of three buckets. The bucket determines whether AI can help, what kind of help it gives, and whether the ROI is real or something that sounded good in a meeting. Most businesses skip this step. They see