01
AI Adoption, end-to-end
We scope the use case, build the Copilot, deploy the inference stack (cloud or private), and hand over a running system with documentation. Fixed-scope engagements, typically 2–6 weeks.
Consulting
AI adoption for the DACH mid-market — on your infrastructure.
We help mid-market companies in the DACH region put AI agents into their business processes without surrendering their data. Three engagement patterns, one vetted team, and the same hands that ship the aplexio Copilots product line.
Three ways we help
Adoption, private deployment, and SAP depth.
02
Private AI Deployment
For companies whose data can't leave their perimeter: we deploy open-weight models (Llama, Qwen, DeepSeek) into your own cloud tenant or on-prem environment. No phone-home, no telemetry, no vendor lock-in.
03
SAP Integration
Deep expertise in SAP (S/4HANA, Business One, ECC) — we integrate Copilots into SAP workflows, resolve IDoc, delivery-block, and freight-cost pain at the operator layer, and build custom skills for your specific SAP landscape.
SAP + Joule
If you run SAP, here's where we fit.
SAP Joule is only available on RISE and GROW. If you run ECC, Business One, or on-premise S/4HANA, Joule isn't available to you — and that's exactly where our SAP work starts. If you do run Joule, our Copilots integrate alongside it as A2A peers, not as a replacement.
See the SAP Logistics Copilot →
How we work
Five steps. No surprises.
01
Fit call
Thirty minutes with a practitioner. You describe the workflow; you get a clear yes, a clear no, or a pointer to something better suited.
02
Scoping
We pin down the one workflow, define what “working” means in measurable terms, size the hardware, and fix the price. Everything after this step is execution, not negotiation.
03
Build
We build the agent and its integration on our side using synthetic and sample data only — your production data plays no part in development.
04
Private deployment
We deploy into your cloud tenant or on-prem environment. From this point on, everything — model, agent, data — runs where your data already lives.
05
Handover
You get a running system, the documentation to operate it, and a team that knows how. Support afterwards if you want it — dependence on us isn’t part of the design.
Proof points
Why DACH mid-market IT leads pick a specialist.
01
We write the code
aplexio builds the Copilots, deploys the inference stack, and integrates into your actual business systems. The same people who design the architecture write the software that runs in your environment. Not a PowerPoint shop.
02
Private deployment as the default
Your AI runs where your data already lives — your cloud tenant, your on-prem, your rules. Open-weight models, no phone-home, no telemetry. If cloud fits for your case, we deploy to cloud; if it doesn't, we don't.
03
Free trust test before you pay
Every Copilot has a free-install tier you can run on your own data before spending a euro on consulting. You see the output before we see a contract.
Let's talk about the concrete case.
Thirty minutes. A practitioner. A clear yes, a clear no, or a pointer.