Zentropix AI — agentic engineering
Less AI talk.
More systems in production.
We build AI agents that do real work in operations, marketing and data — and we run our own company on the same systems. Every number on this page traces back to a measurement you could repeat.
20 minutes · Reply within one business day · No pitch
$ zentropix --status
- ✓ 490/490 tests greendata pipeline
- ✓ 405/405 tests greensms platform
- ✓ 8/8 cron agents healthyoperations
- ✓ CLS 0 · LH 96 desktopflagship case
- 19 machine-driven sessions14 days
Real system numbers — sources at /en/work/
−94%[1]
page weight, flagship store
$14.25M[2]
revenue reconciled, 8+ platforms
854,981[3]
visits audited for fraud
19[4]
machine-driven sessions in 14 days
AI projects usually die in three places.
1
The pilot that never shipped
A polished demo, applause in the steering committee, and then nothing. Nobody owned the path from prototype to production.
2
The tool nobody uses
The licenses are paid for and the workflows look exactly like they did before. Technology without adoption is just a line item.
3
The numbers nobody can check
“AI saved us 30%.” Measured how? Against which baseline? By whom? Silence.
Same root cause every time: nobody measured first, nobody verified after, and nobody owned what came next. Those are the three gaps our method is built to close.
Map. Build. Prove. Operate.
The same discipline as software development with release gates — because it is software development.
01
Map
Baseline before anything else. We measure the process as it runs today — time, error rate, money — so the effect can be proven later, not just felt.
02
Build
Small, reversible steps. Every change ships behind a gate and can be rolled back. No big-bang projects, no burned bridges.
03
Prove
Independent verification: automated tests, screenshot-parity diffs and QA gates the work has to pass before it goes live.
04
Operate
The agents keep working after launch: monitoring, reports, re-scoring. That is what an operating agreement means with us.
The work carries the proof.
Flagship · Shopify speed
−94%
page weight · product page · 110 MB → 7 MB
Shopify speed for a luxury beauty brand
Speed without touching the design: each of the 38 builds passed a screenshot-parity gate. LCP 13.8s → 3.2s, and the store benchmarked #1 of 21 leading beauty stores on mobile.
Read the case →
$14.25M
revenue reconciled
One truth across 8+ platforms
2,490,766 users and 13,377,929 events from 877 raw files — unified in one pipeline with 490 green tests.
Read the case →
4/4
QA gates passed
Multi-agent data pipeline in one day
636,792 raw rows → 207,997 sendable contacts. Orchestrated, independently verified and delivered the same day.
Read the case →
We run the whole business on this.
Selling agents is easy. Letting them run your own company is harder. Here is a slice of the systems running Zentropix right now — the same kind we build for clients.
sms.zentropix.ai
Self-built SMS campaign platform in production — 405 automated tests green.
LIVE
aios.zentropix.ai
Agentic operations cockpit — 26 live data collectors across two machines.
LIVE
cron agents
Self-confirming agents: SEO monitoring, backups with restore-check, morning briefs.
8/8 OK
knowledge base
441 notes, agent-operated, auto-committed every 5 minutes — including 185 wiki pages with 0 lint findings.
AUTO
zentropix.ai
This website — built and verified with the same release gates: Lighthouse 100, CLS 0, 0 dead links.
SELF-TEST
back office
19 machine-driven work sessions in 14 days: invoices ×8, email drafts ×4, email triage ×3, ops briefs ×4.
HEADLESS
STATUS VERIFIED MANUALLY 2026-07-12 — WE DON’T SHOW “LIVE” BADGES WE CAN’T PROVE.
One engineer. A fleet of agents.
Zentropix is Michael Marquard Finderup — Chief Agentic Officer, 15+ years in data and digital growth, AI-specialized since 2022. The work is done by Michael and an orchestrated fleet of AI agents with independent QA gates, plus a trusted developer network when a project needs more hands.
You talk to the person who builds. There is no “team of specialists” in between.
- — Cite, never invent: every number has a source
- — Definition of done, before the work starts
- — Everything built reversible: rollback is a deliverable
Two fixed entry points. No open-ended hourly bills.
Fixed price · 1–2 weeks
Agentic Readiness Audit
We map your processes, find the three agent deployments with the highest ROI and deliver a pilot spec — plus a demo agent running on your own data.
If the audit doesn’t find savings above 100,000 DKK (≈ €13,400) a year, you don’t pay.
25,000 DKK (≈ €3,350)
About the auditFixed price · 4 hours
AI workshops
Leadership or staff — built for the agent era, not ChatGPT tips. Every participant leaves with at least one working automation.
Management 10,000 DKK (≈ €1,340) · Staff 15,000 DKK (≈ €2,010)
Builds: from 60,000 DKK (≈ €8,050) · Operations/retainer: fixed monthly price by scope ·All five services →
Fair objections.
Aren't you just another AI agency?
Our own business runs on the agents we sell: invoices, email triage, monitoring and reports are handled by machine — 19 machine-driven work sessions in 14 days in the latest audit. The numbers on this page come from real systems, and every case describes how they were measured.
What does it cost to get started?
The entry offers are fixed-price: audit 25,000 DKK (≈ €3,350), workshops 10,000–15,000 DKK (≈ €1,340–2,010). Builds typically start from 60,000 DKK (≈ €8,050) depending on scope, and operating agreements are a fixed monthly price. No open-ended hourly billing.
How fast do we see results?
An audit takes 1–2 weeks, a build sprint 2–8 weeks. We set a baseline before we build, so the effect can be measured from the first day in production, not guessed at afterwards.
Do we need an in-house AI team?
No. Everything is handed over documented, tested and reversible. If you want to run it yourselves, we train your people; if you don’t, an operating agreement keeps the agents running and reporting.
What about GDPR and data security?
Compliance is part of the craft, not an appendix. Our own sending operation runs on 917,286-row suppression and compliance sets with hosted unsubscribe. Client data is processed under a data-processing agreement, and the contact form here only stores what you type into it.
You name iGaming and consumer loans — why own that?
Because those are the verticals where tracking, fraud and compliance are hardest. We’ve audited 854,981 visits and archived 338 dead campaigns in our own setup. That discipline makes the work for e-commerce and SMBs better, not worse.
Can you take over something another agency built?
Yes — but we always start with an audit, so we know what is actually running before we touch anything. Whatever we take over gets baseline measurements and a rollback plan before we change the first line.
We can’t promise magic.
We can promise measurements.
Twenty minutes, your processes, no pitch. You leave the walkthrough with at least three concrete automation candidates — whether or not we work together afterwards.