How is custom software cheaper than hiring an agency?

AI now does most of the build, so a custom tool typically costs a fraction of what an agency would charge - often up to 20× less. An agency's price pays for a whole team's hours and months of work; with AI, one person can deliver the same tool in a fraction of the time.

Do I own the software, or is it a subscription?

You own it outright - the code, documentation, and keys, built on a standard, well-documented stack any developer can maintain. No monthly SaaS fees, no vendor lock-in.

What kinds of tools can you build?

Custom internal tools, workflow automation that removes repetitive busywork, tools that turn your documents and data into answers, and honest AI advisory on where AI actually pays off.

Small and medium businesses that have outgrown spreadsheets and off-the-shelf SaaS but don't want the cost or overhead of a full agency. Remote, working with clients worldwide.

Who actually builds it?

Valters Cakss - an AI Solutions Architect with nearly six years leading delivery at Scandiweb, most recently as AI Competence Center Lead. One person, end to end: the person you talk to is the person who builds.

What about changes and maintenance later?

You own the code outright, so there's no lock-in - it's yours to keep. For changes, improvements, or ongoing support, you work directly with me.

How long does it take to build custom software with AI?

Q: How long does it take to build?

Weeks, not months. You get a working prototype on your real data within days, then a production tool tuned until it disappears into the routine - saving hours every week once it's live.

Same time scale: AI gets a working tool live in weeks; the old way runs for months. The point is the gap.

Weeks, not months. With AI doing most of the build, a custom tool moves at a pace that used to be impossible: a working prototype on your real data within days, then a production tool that's live and saving hours a few weeks after that.

The slow part is no longer the code. It's the decisions, the data, and the clarity about what the tool actually needs to do. Get those right and the build keeps up with you.

From the one workflow to a tool your team uses - prototype in days, live in weeks.

A prototype in days

The first thing I build is a working prototype on your real data - not a slide, not a mockup, something you can click. That usually lands within days of the first call.

The point of the prototype is to make the idea concrete fast. You see your own workflow running, you spot what's wrong with my understanding of it, and we correct course before any of it is expensive to change. Most of the important decisions get made by reacting to something real, not by guessing in a meeting.

Live in weeks

From a prototype that's roughly right, getting to a production tool is a matter of weeks, not months. The work is tuning: handling the edge cases, fitting it to how your team actually works, and tightening it until the tool disappears into the routine instead of demanding attention.

"Live" means in real use, doing the one thing your team does all day, properly. The goal isn't a launch event - it's the point where the tool quietly saves hours every week and you stop thinking about it.

What actually sets the timeline

The build itself is fast now. So when a project takes longer, it's almost never the engineering. Three things move the date more than anything else:

Scope clarity. A sharp, single-purpose tool ships faster than a vague "platform". The clearer you are about the one job it must do, the sooner it's done.
Data access. I work on your real data from day one. If that data is easy to reach, the prototype is faster. If it's locked in a system someone has to grant access to, that wait is usually the real bottleneck - not the code.
Decisions. Each open question I have to wait on adds time. The fastest projects are the ones where someone on your side can answer "should it do this or that?" quickly and with authority.

None of these are technical problems. They're about readiness - and they're the levers you control.

The build is already fast. Scope, data and decisions are the dials that move the date.

Why it's faster than a traditional agency

A traditional agency timeline carries weight that has nothing to do with your tool: a project manager, a business analyst, a designer, a few developers, and a handoff between each of them. Every handoff costs time and loses detail.

When the person you talk to is the person who builds, that whole chain collapses. There's no telephone game between the person who heard your requirement and the person writing the code - they're the same person. Combined with AI doing most of the raw build, that's the difference between months and weeks.

How to make your build faster

If you want the shortest possible timeline, three things help before we even start:

Pick the one workflow that hurts most, not five.
Know where the relevant data lives and who can grant access to it.
Have one person who can answer questions and make calls without a committee.

Do that, and the prototype can land in days.

If you've been putting off building something because you assumed it would take months, it probably won't. Start a project and we'll look at the real workflow first - you'll have something to click sooner than you'd expect.