Data entry by hand
The same information typed from one system into the next, every day. Errors included.
AI Automation for the Mittelstand
Your back office. Automated. GDPR-compliant.
Mid-sized businesses lose hours every day to manual processes. I help you find the right ones to automate — and then actually do it, safely and compliantly.
You get an honest assessment of what's worth automating, a focused pilot, and an implementation that holds up in real day-to-day use.
- Understand first, then automate — no guesswork
- Data protection and compliance built in from the start
- You leave with a working pilot, not a presentation
Does this sound familiar?
When the back office becomes a full-time job
Repetitive tasks, manual data entry, forwarding documents by hand — it takes up time your people could spend on work that actually matters.
Documents going in circles
Open email, check PDF, forward, file. Always by hand. Every single time.
Mistakes from routine
Do the same thing every day and eventually you'll slip up. Copy-paste workflows are especially prone to this.
Wrong work for the wrong people
Skilled employees spending hours on tasks that a machine could handle.
AI — but how?
The interest is there, but it's not clear which processes are suitable or what's legally and technically possible.
No clear starting point
AI is on the agenda. But which process do you start with — and how does that actually work?
That's exactly what can change.
How I work
Step by step to an automated back office
No big leap required. Everything starts with a focused analysis — and within a few weeks you'll know exactly where automation is worth it.
01
AI Automation Discovery
I look at your processes, assess the potential, and we agree on where to start.
1–2 weeks
02
Automation Pilot
The first automation is built — from concept to a working, live workflow.
3–6 weeks
03
Scale
What works gets rolled out to further processes and teams.
Ongoing
01The entry point
AI Automation Discovery
Before anything gets automated, we need to know what's actually worth it. In this analysis sprint I take a close look at your administrative workflows, assess the potential, and we nail down a concrete pilot together.
What happens in these 1–2 weeks
1–2 weeks
- 01
Kickoff
We define the scope, identify the right area to focus on, and get to know the relevant systems.
- 02
Process inventory
8 to 15 administrative tasks are captured through conversations and a quick systems review.
- 03
Process analysis
We break down 3 to 5 processes step by step and pinpoint exactly where the manual work sits.
- 04
Automation check
Each process gets scored: How often does it occur? How much manual effort? How complex to connect?
- 05
Recommendation
You get a clear recommendation — the three processes worth pursuing most, and where to start.
What comes next
02
Automation Pilot
The first automation is built — from concept to a working, live workflow.
3–6 weeks
03
Scale
What works gets rolled out to further processes and teams.
Ongoing
Live Demos
Live demos: AI automation in action
These demos show how AI can take over administrative and operational tasks. Each application represents a process that back-office teams deal with every day.
GDPR-compliant AI automation
Clear pilot in 1–2 weeks
Visible workload relief
All Capabilities
About me
A bit about me
I work at the intersection of AI technology and business reality. That means I don't bring AI as an abstract future topic — but as a practical solution to concrete day-to-day processes.
01
Data protection from day one
GDPR isn't a checkbox at the end. Every solution I build has it baked in from the start.
02
What you have is often enough
New infrastructure is rarely needed. I work with what you already have in place.
03
No loose ends
You always know where things stand. Clear steps, clear results — no consultant jargon.
About me
My approach
I work at the intersection of AI technology and business reality. That means I don't bring AI as an abstract future topic — but as a practical solution to concrete day-to-day processes.
01
01
Understand first
Get to know your processes, systems, and goals — before anything gets automated.
02
02
Then identify
Work out where the real leverage is for your organisation.
03
03
Then implement
GDPR-compliant, with your team, for real operational use.
Free intro call
Let's have a quick chat
15 minutes is enough to figure out whether and where AI automation makes sense for you. No sales pitch — just an honest conversation.
I take an honest look at your situation You get a concrete assessment of what's realistically possible And if it fits: a clear next step
I reply within 24 hours.
Or write to me directly: contact@i-love-ai.de
FAQ
Frequently Asked Questions
Short answers to the most common questions about AI automation, getting started, and working together.
What kind of companies is this for?
Primarily mid-sized businesses with recurring back-office or administrative work. It is especially useful where manual data entry, document handling, or internal forwarding takes up too much time.
How do I know which process to automate first?
That is exactly what the AI Automation Discovery is for. Over 1–2 weeks, your workflows are analysed, prioritised, and checked for feasibility. The outcome is a clear recommendation for the most sensible pilot to start with.
Can AI automation be implemented in a GDPR-compliant way?
Yes, and that is a core part of my approach. Data protection and compliance are built in from the start rather than added later, so the solution works not just technically, but operationally as well.
What happens after the discovery phase?
Once a suitable process has been identified, the next step is a concrete pilot project. That means building the first automation from concept to a working workflow. From there, the solution can be expanded gradually to further processes.
Does scaling also include ongoing adjustments and software updates?
Yes. Scaling does not only mean extending automation to more processes. It also includes improving what is already running, which can involve software updates, system adjustments, and continuous optimisation over time.