Frequently Asked Questions

Tell us where the most frustration lives. That's almost always the right starting point. If you don't know yet, we'll spend a free hour walking through your operation, looking at the bits that keep breaking, and pointing at the one that gives you the most leverage for the smallest spend. You don't need a strategy. You just need to point at something that's annoying.

If you have manual work that takes time, makes mistakes, or relies on one person not getting sick, you're ready. We've never met a small or mid-sized business that couldn't benefit. The real readiness question is whether you're prepared to change one process properly and stick with the new version. If yes, you're ready.

Twenty to thirty minutes, no slide deck, no sales script. You describe what's broken. We ask questions until we understand the shape of it. By the end of the call we'll usually have a rough sense of whether we can help, what it would cost, and what the first slice would look like. It's free. Send a message through the contact page and we'll set a time.

Four phases. Week one we sit with your team and map how the work actually flows. Weeks two to three we sketch the system on paper and show you the interface before any code gets written. From there we ship working software in slices, demoing every Friday. On most projects the first piece is live and being used inside six to ten weeks. Then we iterate.

The "from" prices are honest floors, not bait. A simple integration or single-process digitization lands close to them. Bigger scope means more discovery, more interfaces, or more integrations, and we show every line item before you commit. No surprise invoices, no scope-creep arguments mid-project.

You'll see working software within two weeks of kickoff. You'll have something live in your team's hands within six to ten weeks. Most clients see real time savings, the kind you can measure in hours per week, inside the first month after launch. Quarter-long roadmaps that show nothing for ninety days aren't how we work.

We agree the metric before we start. Usually it's something concrete: hours saved per week, percentage drop in rework, time from quote to invoice, jobs lost between systems. We measure before and after. If the number doesn't move the way we said it would, we say so, and we fix it.

Only if you want to be. Code, data, and infrastructure are yours from day one. Most clients keep us on a small monthly retainer for fixes, improvements, and the next bottleneck. You can cancel any month. No multi-year lock-ins, no exit fees, no rebuilding from scratch if you leave.

Almost never. AI is good at the repetitive, low-judgement work that drains your team's day. Email triage, data entry, status chasing, document parsing. Removing that work means the same people get to focus on what they're actually good at: judgement, relationships, the things only they can do. We've never built a system that replaced a person. We've built plenty that let a small team do what used to need a much bigger one.

By default, your data lives in infrastructure you own (your cloud, your account). Where we use external AI models, we use enterprise tiers that explicitly don't train on your data and that comply with POPIA. For more sensitive workloads we can use open-weight models hosted locally. You own everything. Nothing leaves your control without you knowing.

Every automation has a confidence threshold, a human-in-the-loop fallback for edge cases, and a full audit trail of what it did and why. We start with low-stakes, high-volume work and only widen the scope once a process has proven itself. If something does go wrong, you'll see it in the dashboard before it costs you. There's also an off-switch on every automation we build.

We ship in small slices specifically so this never becomes a "the whole thing failed" conversation. If a slice doesn't deliver what we agreed, we fix it before moving on. If three weeks in you decide it isn't working, you stop, pay for the work done, and walk away with whatever we built. No long contracts trapping anyone.