Welcome to LogiShift

There’s a version of AI consulting that works. You identify the right problem, find the right tool, implement it properly, and your team gets hours back every week. The business gets faster and more competitive.

That version exists. I’ve seen it. I’ve built it — in aerospace engineering, automating complex, knowledge-intensive work, where I learned what good implementation actually requires.

The problem is that most growing businesses never get there.

Why most AI consulting projects fail before they start

The gap isn’t the technology. The tools are genuinely good now. The gap is in how most businesses approach the question.

They start with the tool. Someone reads an article, gets pitched by a vendor, hears a competitor is “doing something with AI” — and the next question becomes “how do we implement this?” rather than “what problem are we actually trying to solve?”

That order of operations is backwards. And it’s why so many implementations end up as expensive shelf-ware: tools that technically work but that nobody uses, because they weren’t built around a real problem in the first place.

The other problem: who’s giving the advice

Large enterprises have dedicated AI teams who can run experiments, fail, and iterate without betting the business on it. They also have the budget for big-name consulting firms — and the cushion to absorb it if the engagement doesn’t deliver much.

Small and mid-sized businesses get the sales pitch instead. Vendors wearing consultant hats. Firms that built their practice around a specific platform and need clients to validate that bet. The “discovery process” that’s really just setup for the proposal they already wrote before walking in the door.

This is why the same pattern keeps repeating: money spent, nothing adopted, a team that’s more skeptical of AI than when they started.

Here’s what honest AI consulting looks like

I’m Arthur Zamfir. I spent years at the German Aerospace Center building systems that automated the repetitive, judgment-heavy work that engineers do every day. What I learned is that the same principles apply regardless of domain: you start with the problem, understand the workflow, and build something people will actually use.

LogiShift is how I bring independent AI consulting to growing businesses — typically 5 to 100 people — who want honest advice on where AI makes sense for them. No vendor relationships. No referral fees. No upsell.

If AI isn’t the right answer for your problem, I’ll tell you that too.

The question worth asking first

Before you buy any tool, hire any consultant, or sign any contract, ask yourself one thing:

What specific task, done the same way every week, is costing my team more time than it should?

If you can answer that concretely — “we manually copy quotes from emails into our CRM every day,” “every client onboarding involves recreating the same documents from scratch,” “we chase the same payment reminders every month” — you have a real problem worth solving. The right tool usually becomes obvious from there.

If you can’t answer it, no tool will help. And any consultant who doesn’t ask you that question first isn’t doing their job.

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If you’re running a business and want to figure out where AI actually fits, let’s talk. No commitment — you’ll leave knowing what’s worth pursuing and where to start.