Put AI to Work
AI that reads your documents, answers your customers and drafts your busywork — measured against your real data, not a demo.
More on AI work
Featured case study
A finance team was hand-keying roughly 900 supplier invoices a month from PDFs of wildly varying quality. An extraction pipeline with a human review step removed most of the typing without removing the oversight.
Four ways I work with businesses. Most conversations start with AI right now — and often grow into one of the others once we find what's really slowing you down.
AI that reads your documents, answers your customers and drafts your busywork — measured against your real data, not a demo.
More on AI workThe repetitive work eating your week — invoicing, reporting, data entry — running itself while you sleep.
More on automationCustom software built around how your business actually works — not how a template thinks it should.
More on web appsA fast, findable website that turns visitors into enquiries — and gives you full ownership of it.
More on getting onlineWhere most people start
Most AI projects die the same way: they demo brilliantly, then meet real documents, real customers and real edge cases, and quietly get switched off within a month.
I build the other kind. Every project runs alongside your existing process first, so you get a real accuracy number on your own data before anything goes live — and a human stays in the loop wherever a mistake would actually cost you.
Invoices, contracts, forms and applications read automatically — including the phone photographs and the bad scans.
Assistants grounded in your own documentation, that hand over to a human the moment they're unsure.
Enquiries classified, routed and acknowledged in seconds instead of sitting in a shared inbox until someone gets to them.
Proposals, summaries and routine writing drafted for a person to sharpen — the slow blank-page part removed.
I've been building software for over a decade — starting with scrappy projects as a teenager, then years of client work, and now AsadLabs.
Along the way I noticed something that still bothers me: the businesses that would gain the most from good software are usually the ones told they can't afford it. They get quoted six figures for something that should cost five, or handed a template that doesn't fit how they actually work.
So that's the whole idea here. Great software shouldn't be a luxury only big companies can afford. I work directly with owners, I explain things in plain English, and I'd rather tell you not to build something than take the money.
When I'm not building, I'm usually writing about this stuff, reading far too much about systems design, or being reminded by my family that not everything is a workflow problem.
I've built AI features that saved companies real money and AI features that got switched off within a month. Here's the honest difference between the two.
Nobody wants to give you a number, so I will. Here's what custom software actually costs in 2026, what drives the price up, and how to spend less without regretting it.
Not the flashy ones. The five quiet, repetitive processes that eat a day a week in most small businesses — and roughly what it takes to make each one run itself.
One costs a few thousand and takes weeks. The other costs tens of thousands and takes months. Here's how to tell which one your problem calls for.
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Let's talk about it. The call is free, the advice is honest, and there's zero pressure to work with me afterwards. Worst case, you leave with a clearer plan than you had.