The founder

Built to keep
you in the game.

Malik Lindharth · 17 · Fyn, Denmark

Most people who talk about AI automation have never actually shipped an AI product. I have. AutoCore AI is what came out of figuring out what it actually takes to make these things work in the real world.

Malik Lindharth, founder of AutoCore AI

AutoCore AI builds custom AI automation for small and medium businesses. We take the repetitive work that eats your week, things like chasing leads, onboarding clients, answering the same customer questions, moving data between tools, and pulling reports together, and turn it into systems that run themselves. Your team stops doing the work a machine should be doing and gets its hours back for the work that actually needs a person.

In practice that means lead-to-deal pipelines, client onboarding flows, customer-support assistants, AI voice agents for your phones, and live reporting dashboards. We build on whatever tools fit your business and wire them into the systems you already run.

The AI wave is not coming. It is here. A business that automates its lead follow-up, client onboarding, and reporting frees up dozens of hours every week that a competitor still burns on manual work. That gap compounds quietly. The businesses that act now will look back in two years and know it was one of the most important calls they made. The ones that wait will wonder when exactly they fell behind.

I built AutoCore AI because I kept seeing smart businesses run by capable people losing ground to competitors who had simply automated the repetitive parts. Not because the competitors were smarter. Just because they had the right systems. A normal business cannot compete long-term against the same business running AI on top of every process. That is the problem this company exists to solve.

Before AutoCore AI, I built Fulecast, an app that broadcasts real-time fuel prices from every station near you and uses AI to predict prices seven days ahead. Shipping that taught me something you cannot pick up from reading about AI: the decisions that matter happen in the build. Which data to trust. What to automate versus what to keep manual. How to design a system that holds up in the real world, not just in a demo.

I have been on a computer practically since I could reach one. When AI started properly arriving (the kind that could actually do things), I understood immediately what it meant. Not as a trend to follow. As a shift to act on.

I work with whatever tools the job needs. n8n, Make, custom APIs: whatever gets the result. I am not loyal to any particular stack. The outcome is the only thing that counts: fewer manual steps, faster critical paths, and a business that can grow without every part of the growth landing back on your desk.

AutoCore AI is early and I am honest about that. But the right question is not how many years I have been doing this. It is whether I can look at your business and tell you, clearly, what automation will actually move the needle, and then build it. The €49 audit is where we find that out together.

Every client project becomes a documented case study — what the business looked like before, what we built, and what changed after. Where a client is happy to be named, that gets published on this site in full. Where they would prefer to stay private, everything that could identify the business or the person is removed before publishing. The work gets shared; the identity does not. Either way, the story helps the next business figure out whether automation is right for them.

The €49 audit is the simplest way to find out what AutoCore AI can do for your business. You get a full review of where your time is going, a clear picture of which automations would actually move the needle, and a prioritised plan you can act on, whether you build it with us or not. One focused session, a concrete plan, and the lowest-risk way to see whether this is worth it.