Process optimization for Austrian SMEs · based in Vienna
Process optimization and AI automation for Austrian SMEs
I'm Thomas Aistleitner — software engineer and product leader from Vienna. 15+ years of building software, one company sale as CTO; today I lead 40+ engineers across seven teams as Director of Engineering at Sportradar. On the side, I help SMEs across Austria reduce manual work between the software they already use with suitable integrations, software, and AI where it makes sense — from analysis through implementation and operations.
Thomas Aistleitner
Director of Engineering, Sportradar
Vienna · TU Graz · student pilot
Services — for small and mid-sized businesses
Reduce manual work between existing systems.
I look for handoffs where your team re-enters information between existing programs. The right fix may be a straightforward rule, an integration, or AI for work that involves unstructured information.
What eats time every day runs automatically
Incoming invoices, inboxes, phone notes, reports: checked, logged, with a human at every decision point.
Systems that talk to each other
Industry software, accounting, web shop, Excel: what gets retyped by hand today flows on its own — even with that legacy system from 2012.
Software that sells instead of just administrating
Quotes that go out the same day. Inquiries answered at night. Follow-ups that never get forgotten.
Runs — and keeps running
Built by me, documented for handover, continuously maintained: updates, improvements, evolution. A workflow nobody cares for is manual work again within six months.
Examples of repeat manual work
Check an incoming invoice
Extract invoice details and prepare a posting proposal for a person to review.
Sort incoming messages
Group messages, flag possible deadlines, and prepare replies for approval.
Work with a legacy system
Prepare structured information for an older program and check the transfer.
Prepare a weekly report
Gather open items from existing notes and produce a reviewable draft.
Structure a customer request
Summarize a message and prepare next steps before someone replies.
Triage a phone inquiry
Check common questions against available information and route exceptions.
Compare price lists
Compare supplier prices and flag unusual values for a business review.
Enter data into specialist software
Fill recurring details in an older program and check them before saving.
Demos and detail pages are in German — happy to walk you through in English.
Proof
Not from a seminar.
From fifteen years of building.
Helped grow hitbox.tv (later smashcast.tv) as Lead Developer — to six million monthly users at its peak.
The go-to person for AI at Sportradar — I founded the company's internal AI Academy; AI-assisted engineering is everyday practice across my seven teams.
Built and sold internal video-conferencing systems for corporations between Europe and China. Before that: video decoding for security systems, software for Magna Powertrain.
Led a product company as CTO — from first architecture to the company's sale in 2026.
Career
2026– Director of Engineering, Sportradar
2023–26 Senior Engineering Manager, Sportradar
2022–26 CTO (part-time), product company · Vienna
2018–22 Senior Developer, PKE electronics
2016–22 Co-owner, TAC Solutions GmbH
2014–16 Lead Developer, hitbox.tv
2010–14 Freelance — Magna Powertrain, Tele2, Anexia, Remax
2005–10 TU Graz, Computer Science & Technical Mathematics
The common thread: understand existing systems, improve them while they run, and bring along the people who work with them. Along the way I've built nearly everything — desktop, web, Android and iOS apps, smart TV, server; from corporate platforms to solutions for a twelve-person shop.
How I work
No consulting fluff.
Tools.
- I build it myself. Analysis and solution from one pair of hands — no slides without code behind them.
- Results, not hours. Fixed-price build, then ongoing care — maintenance, updates, and evolution included.
- Everything handover-ready. Documentation is part of the delivery. You're never locked in.
- Confidentiality first. We check data location, access, and model use before work starts; unsuitable services are excluded.
Watch it work
I don't tell. I show.
Eight illustrative workflows show possible steps and decision points. All sample data and figures are fictional; they are not client outcomes. The demos are in German — happy to walk you through them in English.
About
The easiest first step:
two sentences by email.
Vienna. TU Graz — computer science and technical mathematics. Student pilot. I write daily on LinkedIn about engineering, AI, and leadership — the fastest way to see how I think.
You don't need a requirements list. The workflow that annoys you is enough.