AI automation across every process.
We take the routine work off your team, measurable within the first quarter. Plus SAP data migration without nasty surprises.
- A single point of contact
- Own infrastructure
Two paths, one point-of-contact team.
Sound familiar? Here's how we solve it.
Four workflows that often still run by hand. And what they look like automated, with a person at the point where a decision is needed.
Schematic view
The inbox sorts itself
In the no-obligation intake we check whether a lever like this sits in your processes. Five questions are enough to start.
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AI that ships in a quarter.
From test to daily use, usually within a quarter. You see up front what it delivers and can always trace how it decides.
Searchable, with sources, instead of minutes spent digging through folders.
Pre-sort enquiries, pre-code invoices, build reports. Approval stays one click.
Emails get sorted, routine inquiries answered, complex cases passed on.
Where does AI pay off in your business?
Five questions, about two minutes, right here. Vega captures the process that costs you the most time and prepares your AI-Audit call.
Vega · intake assistant · 5 questions
S/4HANA cutover without surprises.
We check the data for completeness, rehearse the cutover weekend and prove the clean state, from analysis to go-live.
Our AI runs on our own hardware in Germany.
Language models, knowledge base and workflows run in-house on our own server, with open-source models and no usage-based API cost. We know every component down to its configuration. We build the same architecture on your infrastructure or with a provider your data protection team approves.
Which processing path fits your compliance situation is something we settle with your data protection team before we build.
Discuss the processing path- Own GPUs for open-source LLMs (Llama, Mistral, Qwen)
- Vector DB for RAG & knowledge bases on-prem
- n8n + custom workflows in production 24/7
- VPN access, hardened SSH, audit logs
- Backup & recovery in Germany
Automation that fits in.Automation that fits into your team's day.
We automate recurring workflows where they still run by hand today, and keep a person in charge of the decisions that need one. Example: orders arrive as PDFs by email and land in the ERP as a checked order, without retyping.
What arrives by email gets retyped today. It doesn't have to.
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How it is built
“Good automation knows when to ask a human.”
Classification and extraction via an LLM with a confidence per field, matching against master data, a structured and escaped order file, an error path that reports instead of aborting silently. Orchestrated in n8n, on your infrastructure or with a provider your data protection approves.
“Good automation knows when to ask a human.”
Classification and extraction via an LLM with a confidence per field, matching against master data, a structured and escaped order file, an error path that reports instead of aborting silently. Orchestrated in n8n, on your infrastructure or with a provider your data protection approves.
When we are not the right address.
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You are looking for pure SAP hosting or license trading. There are better addresses for that.
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You want to introduce AI without setting a measurable goal. We do not start without a baseline.
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You need a 40-person program from day one. We deliberately deliver as a two-person team with clear scope.
None of these three points apply to you: 30 minutes initial consultation. Binding only if it fits.
Frequently asked questions
Why a young consultancy without customer logos?
MGTI was founded in 2026. There are no customer logos yet, and we do not invent them. You can verify three things: the founders' professional years (9+ years at Big Four, linked LinkedIn profiles), the tools we have built for ourselves and demonstrate live in conversation, and the documentation we work with. Work samples instead of logos.
What does getting started cost?
Initial consultation and AI audit intake are free. After that, we work with fixed prices for each clearly scoped step instead of open hourly rates. We name the concrete price after the 15-minute call.
What happens with our data?
We settle that together before we build: which data the model sees, where it runs (on your infrastructure or with a provider your data protection team approves) and who has access. Internally we run our AI on our own hardware and know every component. We document the processing path so your data protection team can review it.
Are two founders enough?
Yes, and deliberately no junior layer in between that you'd pay for. We start with the one use case with the biggest payoff and deliver it productively; we expand scope through clearly scoped, signed-off steps rather than headcount. You keep the same contacts throughout: the same people who build and run the solution. Both founders know every setup, and runbook and access details sit with you, so operations stay on track even if one of us is unavailable.
How quickly do we see results?
Our target corridor: 4-8 weeks to the first productive solution. Whether it applies to your case, we say after discovery, not in the pitch. Measured against the baseline captured before start.
Which processes cost you time and money every day?
Every company carries different bottlenecks: manual routines, risky data, processes no one questions anymore. In a free 30-minute first call with the founders, we pinpoint the biggest levers together and tell you where the effort pays off.
- We also say when the effort does not pay off.
- Concrete next steps you can take away
- Confidential, used only to handle your request