Consulting
We help mid-market companies worldwide 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
01
We scope the use case, build the Copilot, deploy the inference stack (cloud or private), configure transaction permissions and approval flows, and hand over a running system with documentation and an audit trail. Fixed-scope engagements, typically 2–6 weeks.
02
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
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, execute approved transactions where the workflow warrants it, and build custom skills for your specific SAP landscape.
SAP + Joule
As of November 2026, Joule Work and Joule Studio are in phased general availability on SAP's cloud path (SAP, October 2026). Selected AI scenarios for ECC and on-premise S/4HANA remain tied to a commitment to transition most of the landscape to SAP Cloud ERP (SAP, May 2026). If that is not your path, we build for the systems you already run. If you do use Joule, our Copilots can work alongside it through governed integrations.
See the SAP Logistics Copilot →
How we work
01
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
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
We build the agent and its integration on our side using synthetic, sample, or anonymised data — never live production data.
04
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
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
01
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
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
Our agents can read, recommend, and execute. You set permissions and autonomy per workflow — observe, advise, act with approval, or act on their own where the process justifies it. Every action uses least-privilege access and interfaces you sanction, with an audit trail. Human approval is a control you choose, not a limitation we impose.
04
Every Copilot has a free tier: it runs in Claude Code with Anthropic's cloud model, on the bundled samples or a redacted export from your own system — before you spend a euro on consulting. You see the output before we see a contract.
Thirty minutes. A practitioner. A clear yes, a clear no, or a pointer.