This is how we run a Pilot Implementation at ARTECH.
TL;DR
- A pilot means one micro-app for one process, running on real data, in 4-6 weeks.
- We work on-site at your company, with your team — the knowledge stays in-house, not with the vendor.
- At the end you have a working tool, a measured result, and a decision: scale it or not.
- AI here is a development tool that speeds up the build — not a magic off-the-shelf product.
Why a pilot, not a "proof of concept"
A classic PoC has one flaw: it proves that "it can be done" but leaves nothing you can actually use. After the presentation you're back where you started — richer in knowledge, poorer in time.
A pilot is different by design. The goal isn't to prove the technology — that's rarely in doubt today. The goal is a working tool that solves one real problem on your data, plus a firm answer to whether it's worth developing further.
How a pilot unfolds — week by week
The scope varies by process, but the rhythm is usually similar.
Week 1 — choosing the process and getting the data in order
Together with the department team, we pick one process with the highest return potential and a clear starting point. The first few days are usually spent putting in order the data the app will use — that's a normal part of the work, not a side task.
Weeks 2-3 — the first working version
Version 0.1 is built on real data. Rough, but functional — we test it with the people who do this process every day, and refine it in short iterations.
Weeks 4-5 — iteration and fine-tuning
The app matures: it handles edge cases, integrates with what's needed, and starts genuinely saving time. The team learns to use it.
Week 6 — measurement and decision
We measure the effect against the starting point (response time, number of cases handled, hours freed up for experts) and make a decision: scale it, stop, or carry the approach over to the next process.
Practical tip: Measure pilot success not by "does AI work," but by whether the process is faster or cheaper after implementation — and by how much. A number without a baseline means nothing.
What you get at the end
- A working micro-app for one process, on your data — not a demo.
- A measured result against the state before the pilot.
- Knowledge inside the company — we work with your team, so they understand how it works and how to develop it further.
- A data-driven decision, not a vendor's promise.
Note: A pilot won't replace executive sponsorship. Without someone who owns the topic and gives the team time, even the best tool won't make it into daily work.
The pilot's short timeline is possible because we treat AI as a development tool that speeds up building the app — not as a finished product that "does it all by itself." That's how a solution tailored to your process comes together in a few weeks, instead of another license for a system you have to bend to fit your needs.
What's next?
Do you have a process that's causing the most pain right now? Book a consultation — we'll tell you whether it's a good fit for a pilot, or start with the Applied AI Test to see which process to begin with.
