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.

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.

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.

What to automate first in a small business

The first pick: where frequency meets clear rules.

When a business first considers automation, the instinct is to start with the most annoying task. That's usually the wrong place to begin. The best first automation isn't the one that irritates you most - it's the one that pays back fastest and teaches you the most.

Here's how to find it.

Look for the repeated, rules-based work

The best candidates share three traits: they happen often, they follow clear rules, and a person currently does them by hand. Copying data between two systems, formatting the same report every week, chasing the same approvals - these are quiet time sinks that follow predictable steps.

Avoid, for now, anything that needs real judgement on every case. Those can be supported by software, but they're rarely the first thing to automate end to end.

Count the real cost, including the switching

Add up the time the task takes - then add the hidden cost of context switching. A five-minute job that interrupts someone eight times a day costs far more than forty minutes; it fractures focus and pulls people off the work that actually matters. The most valuable automations often remove an interruption, not just a task.

Start where a mistake is cheap

Your first automation is also how you learn to trust the system. Pick a workflow where an error is visible and easy to correct, not one where a silent mistake costs a customer. Build confidence on safe ground first.

Keep a human in the loop at the edges

Good automation doesn't mean "fire and forget." The strongest setups do the repetitive middle automatically and leave a person at the start (deciding what goes in) and the end (confirming what comes out). That keeps speed without giving up control.

Humans at the edges, automation through the middle.

The first one should prove the point

The goal of your first automation isn't to transform the business - it's to bank a clear, visible win that the team feels within a week. Hours back, a report that writes itself, an inbox that no longer needs babysitting. Once people feel the time return, the next candidates suggest themselves.

If you're not sure which workflow to start with, that's exactly what an intro call is for - we map where the time actually goes before anything gets built.