50
cases published, the 15 strongest here
KPI
Every case with measurable numbers
IT
Operations, cloud & AI in focus
We publish our 50 best case studies with starting point, implementation, KPIs before and after, and honest takeaways. Here you see the 15 strongest – ranked by measurable result. Filter by industry, service area, outcome type or company size to get straight to your situation.
Filters are combinable – set all four at once.
Restore 2TB of ERP data in 45 minutes after ransomware. Read how we saved €50k in revenue. Discover our immutable backup strategy.
45 min – Total recovery time
Cut DR costs by 40% and achieve 15-min RPO. See how this UK retailer automated failover with Azure. Read the case study.
-40% – Disaster Recovery costs
Cut RTO from 90 min to <15 min across 50 logistics sites. See how PRTG & Ansible enabled 92% automated failover. Get your audit-ready DR plan.
< 15 min – RTO per site
See how a London fintech handled 400% transaction growth while cutting cloud costs by 22%. Learn our Kubernetes optimization strategy.
-22 % – monthly cloud infrastructure costs
Boost B2B conversion by 18% and AOV by 16% with AI-driven product recommendations. Read how we streamlined industrial procurement.
+18 % – Conversion Rate
See how an industrial manufacturer reduced credit processing time by 40% and errors by 90% via custom LLM workflows. Book a consultation.
-40 % – average processing time
Cut RTO from 48h to 15min with cross-continental AWS DR. Ensure global SLA compliance. Read the case study.
< 30 sec – Recovery Point Objective (RPO)
Cut internal email latency by 99% and IT overhead by 81%. See how a Swiss engineering firm modernized identity and mail. Read case study.
-99 % – internal email latency
Discover how a DACH SaaS company reduced Azure spend by 42% and hit 99.99% uptime using cross-cloud monitoring. Read the case study.
-42% – Monthly Azure infrastructure costs
Cut GDPR audit prep by 70% and find 30% more PII with automated classification. Secure your hybrid infrastructure today.
-70% – Audit preparation time
How a 180-employee logistics firm slashed latency by 40% and saved €43k/year via SD-WAN. See how hybrid routing transformed their network. Read the case.
-40% – Average network latency
See how a UK industrial firm reduced support tickets by 30% and boosted order accuracy to 95% with a custom B2B portal. Get your audit.
-30% – support tickets
Cut B2B SaaS churn by 25% and retain $420k ARR. See how we used Azure ML and behavioral data for proactive retention. Read the case study.
-25 % – Relative churn reduction
Recover lost revenue by fixing email deliverability. See how DNS & DMARC optimization raised delivery to 99.2% for a B2B distributor. Read the case study.
99.2% – Delivery Rate
Discover how a 450-employee trading group reduced MTTD by 67% and false alarms by 73% with AIOps. Read the full case study.
-67% – Mean Time to Detect (MTTD)
No case matches this combination – resetting one filter shows results again.
A case is not a sales story, but a template: the starting point, the concrete decisions and the numbers at the end. That way you can learn from it without taking the risk yourself.
Every case names the metrics that changed – and the ones that did not. So you see the real effect, not the curated one.
Which tool, which architecture, which effort: we document the choice and why – so you can make the same decision faster.
As soon as a client agrees, the real documentation appears. Until then we honestly mark representative examples as such.
A case is published only after written client approval. Anonymisation is always possible.
No “significantly improved”: every case names the KPIs before and after – even when a number does not look good.
What was concretely built, which tools, which mistakes we made – so that you can learn from it without paying for it yourself.
While a project is still running or the client has not given approval, we mark cases as representative project examples (with a disclaimer in the text). Once the client consents, we replace the example with the real documentation – with the same structures and number logic.
Yes – tell us your industry and pain point in the first call. We then show you the most relevant case from our archive, even if it is not published here yet.
For confidentiality and NDA reasons. Anonymisation does not change the relevance: industry, size and KPIs stay real and verifiable.
We document the numbers at project completion and update them annually for ongoing collaborations. Older cases are dated accordingly.
In most cases, yes – we work in B2B software, machinery, e-commerce, SaaS, agencies and skilled trades. Tell us your industry and we show the most relevant case from the archive, even if it is not published here yet.
Yes. Cases are made for that. For internal decks we provide on request a one-page summary with the key numbers and the setup – without the details that are protected for confidentiality.
No – the published cases on this page are freely accessible. In the first call we additionally show cases from our archive that are not approved for this page yet and are closer to your industry context.
Three criteria: industry (similar logic), tool landscape (same or similar systems) and pain point (migration, security, scaling, cost). Name the three points and we name the most relevant case – even if it is not published here yet.
The focus is clearly on B2B and mid-market (machinery, logistics, healthcare, SaaS, skilled trades). For e-commerce we have dedicated cases (e.g. Magento/Shopify), because the KPIs are set up differently.
Yes – on request we create an anonymised version you may freely use in internal presentations. It contains the starting point, the key decisions and the KPIs, but no client-specific details.
If you are ready to share numbers: we show how your setup is built and what it delivers.
Request a conversation30 minutes, no strings. No pitch – we look at your data.