Your systems stay. Your workflows get smarter.
Every industry has work that falls between systems: we build the automation that handles it.
Freight & logistics
Compares bookings, rates, contracts, customs data and shipment records. Flags discrepancies before billing or operations act on bad information.
Finance
Pulls invoices, approvals and account data from the systems that hold them. Surfaces exceptions to the right person before they become problems.
Sales & operations
Reads every incoming request, verifies the information against your criteria and data, and routes automatically. Nothing sits in a queue waiting to be manually assigned.
Also commonly built
Something else? Tell us and we'll scope it in the same week.
Discovery to handover in four to eight weeks. The one variable is how clean and accessible your data is when we start. We find that out in week one.
The real failure modes are prompt injection, confidently wrong answers, and scope creep. Each one is handled before it reaches you.
You start at L0. You move right when the data earns it.
Operational work gets scoped differently depending on the job and the data behind it, so we don't publish a generic rate card. One conversation is enough to give you a fixed number.
What actually decides the number
| Factor | Faster · simpler | Slower · complex |
|---|---|---|
| The job | One task, clear rules | Many edge cases, fuzzy rules |
| Your data | Clean, one system, API | Scattered, stale, manual export |
| History | Your second or third build | Your first build with us |
Most builds sit somewhere across both columns. That mix is the number.
You'll have a fixed number within two working days of that conversation, before you commit to anything. Model usage is billed by your own provider, separately, so you always know exactly what you're paying for and to whom.
Copilot is a very good assistant sitting next to a person. It waits to be asked, it doesn't know your rules, and it doesn't own an outcome. This does one specific job in your business, on a schedule, against your data, with a measured accuracy number and an audit trail. If a person still has to start every task, keep the assistant. If you want the task to arrive already done, that's a different thing.
Probably yes: the first 80% in about two weeks. The last 20% (the evaluation harness, refusal behaviour, escalation logic, and the forty ways it breaks on real data) is what takes six months. We've paid for that learning. You own the code afterwards.
It happens. The question is what it costs. At L0 and L1 a person catches it before it leaves the building, which is exactly why we start there. Then the case goes into your test suite so that specific failure can't recur. What we won't tell you is that it never hallucinates: anyone who tells you that is either lying or hasn't shipped anything.
A named engineer, response times agreed upfront, and access to the same test suite we built the agent against. Most issues get caught by the tests before they ever reach you.
Not yet. Both are planned. In the meantime every build ships with its own test suite, audit trail, and a security walkthrough before you sign anything.
Same team, two ways in. The platform runs agents for you from €39 a month. Build is for the operational work between your own systems. Most clients use both.
Demo accuracy and production accuracy are different numbers. The validation weeks exist for exactly this: the agent runs on your actual data before anyone acts on its output, and we measure the real number.
Yes. It's built in a repo you have access to from day one, not a proprietary platform you'd have to reverse-engineer to leave. If you stop working with us, you keep the agent, the code, and the test suite exactly as they are. You lose our updates and support, not the thing itself.
Tell us what you're trying to fix. We scope it in one call.
We reply within one working day. If your security team needs a questionnaire filled out first, send it over, we'd rather deal with that early than have it stall things later.