AI agency & AI training

Your team learns AI on its own system inside your business.

For our AI training we come to you, set up an AI system in your business, and your team practises directly on its own tasks. Afterwards it keeps working with the same system, with us as a dedicated contact if you wish.

More power for your office, more time for your customers.

A course explains how AI works. With this package you also keep a configured system in your business that your team has practised on and keeps working with the next morning. Set-up and training take place in-house at your premises.

  1. 01 · Setup · 3 hours

    The system is in place before the training starts

    We set up the AI system with a fixed rulebook at your business and connect it to the software your team already uses. What fits your data protection requirements is something we clarify together beforehand.

  2. 02 · Theory · 2 to 3 hours

    Everyone gets the same foundation

    Terms, tools and the limits of AI, each with examples. Above all, how to check a result instead of simply accepting it.

  3. 03 · Practice · 2 to 3 hours

    Each person practises on their own work

    We adapt the practical part to your business. Your team works on the tasks that are on the desk anyway, not on made-up exercises.

  4. 04 · Follow-up · 2 hours

    Some questions only come up in daily work

    Some things only become clear after a few weeks with the system. For that there is a session in the first month, and if you do not need it, it lapses.

  5. Certificate

    A certificate of attendance for every participant

    It records the date and content of the training. Such a record is not actually mandatory: the EU AI Act asks for measures to build AI literacy, not for a certificate. Documenting your own measure still makes sense.

  6. Afterwards · optional

    If you like, we remain your AI contact

    You can add ongoing support, cancellable monthly: updates when new AI models arrive, a dedicated contact and a short support call once a month.

Process, legal framework and enquiry for the AI training
Learn more

What we have solved for our clients.

Selection
MeinDienstarzt: MacBook-Mockup der KV-Dienstvermittlung
2025
MeinDienstarzt • Health

Place on-call shifts

On-call shift placement for outpatient physicians. From bottleneck to substitute, fast and KV-compliant.

Details ansehen
Momentsuite: MacBook-Mockup mit Screenshot der Posting-Automation-UI
2025
Momentsuite • SaaS

Automate marketing

Marketing autopilot for hospitality and gastronomy. From brief to scheduled post, AI as co-pilot rather than tool.

Details ansehen
Defence:Connect: MacBook-Mockup mit Defence-Connect-Visualisierung
2025
Defence:Connect • Defence

Open up the defence market

Guiding mid-market companies into the defence sector. Complex regulation as an executable playbook.

Details ansehen
JourF'x: iPad-Mockup mit KI-Videokommunikation und Live-Dokumentation
2026
JourF'x • Health

Document consultations

Secure video communication with real-time AI documentation. The conversation becomes the protocol, automatic and context-aware.

Details ansehen
MedicPlace: MacBook-Mockup des Healthcare-SaaS-Dachs
2026
MedicPlace • Health

Bundle practice tools

Healthcare SaaS umbrella for physicians: placement, academy, billing. One platform, eight modules, one industry umbrella for physicians.

Details ansehen
KI-Sprachassistent: iPhone-Mockup mit Live-Transkription und strukturierter Anamnese
2026
KI-Sprachassistent • Voice-AI

Automate anamnesis

Live transcription and anamnesis for medical practices. Takes load off reception and documentation.

Details ansehen
Business owner steering a holographic second brain that connects calendar, messages, reports, documents and voice recordings
2026
Scalableloops • AI agent system

Your second brain: an AI assistant that knows your business

It prepares meetings, takes notes in video calls, builds ads and posts and answers when you ask. Your data stays in your company.

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Upcoming events.

Tue 6 Oct 2026 · 6:00 pm · Pfarrkirchen
Innovation.einfach.machen: automating what costs effort

Talk by Jeremias Burger at GreG Rottal-Inn, hosted by WEKO Wohnen GmbH. Free admission, registration required. Held in German.

Register
Thu 15 Oct 2026 · 6 to 9 pm · INN.KUBATOR Passau
Innovation.einfach.erklärt

We present momentsuite.ai, the marketing AI by SDS Mind and Scalableloops. Free admission, registration required. Held in German.

Register
Sat 7 to Tue 10 Nov 2026 · Messezentrum Salzburg
Alles für den Gast autumn fair

We speak with momentsuite.ai on the fair’s theme “The New Hospitality: AI & People”.

Visit the fair

Our clients and teams work with

03 · Manifest

What counts. What pays off. What lasts.

AI does not succeed because it impresses technically. It succeeds when it carries the business model, and when the people working with it every day can actually use it.

  1. 01

    We know what counts.

    Before we automate, we check what your business model actually carries. Which work is critical, which is routine, which burns hours without leverage. Automation unfolds its effect where the ratio of effort to leverage is steepest, and you can only see that in operations, not in the model.

  2. 02

    We choose what pays off.

    Not every process belongs in automation. Some tasks are too critical to run without human responsibility. Others are too rare for the engineering effort to ever pay back. We invest where automation returns predictably.

  3. 03

    We build for the people working with it.

    Whether AI lasts in daily use is rarely decided by model accuracy. It is decided by cognitive load, perceived reliability, attention decline across long shifts, and UX that holds under stress. Those factors are the second half of our work.

04 · Team

We are the team that launches you
into the AI era.

  • Nikolai Schöbel, co-founder of Scalableloops, responsible for onboarding and training
    Co-founder · Onboarding and training

    Nikolai Schöbel

    Founded Scalableloops GmbH together with Jeremias Burger and runs it as managing director. Hailing from Passau, he has worked in digital business for over 20 years and trains the system every day in his own agency work. Responsible for onboarding new clients and training their teams on the configured system.

  • Jeremias Burger, co-founder of Scalableloops, responsible for AI architecture
    Co-founder · AI architecture

    Jeremias Burger

    Founded Scalableloops GmbH together with Nikolai Schöbel and runs it as managing director. A trained computer scientist from Eggenfelden, he previously worked as a developer and builds the secure AI systems at Scalableloops, together with the rulebook that runs behind them. Trains the teams together with Nikolai Schöbel.

  • Monika Schliffenbacher, responsible for sales and AI training at Scalableloops
    Sales · AI training

    Monika Schliffenbacher

    Founded Bumblehouse Marketing in her home town of Eggenfelden in 2023 and runs the agency as its owner. Has worked with the system every day with her team since September 2026 and knows it from the client's side. Responsible for sales at Scalableloops and trains client teams on the installed system.

  • Yvonne Dachs-Stoffel, responsible for sales and marketing at Scalableloops
    Sales · Marketing

    Yvonne Dachs-Stoffel

    Founded Momentsuite, the marketing autopilot for restaurants and hotels that Scalableloops helps build on the technical side. Responsible for sales and marketing for Momentsuite at Scalableloops.

What else we develop.

AI training & workshops
Marketing · IT
AI voice systems & voice agents
Health · Service
Knowledge graphs & retrieval pipelines
Public · Legal
SaaS platforms & module architectures
Health · Marketing
AI-powered marketing automation
Marketing · SaaS
Auditability, logging & governance
Defence · Health

What can we automate for you?

hello@scalableloops.ai

You will speak with Nikolai SchöbelCo-founder · Onboarding and training

What happens next

  1. You tell us briefly what it is about.
  2. Nikolai gets back to you personally.
  3. In a first conversation we work out whether and how we can help.

How we run custom projects.

We start by checking what your business model actually carries. We automate where it pays off. We design so your teams can work with it. Five phases develop the system, three tracks run in parallel: GDPR, AI Act compliance, and safety. Auditability is part of the process.

  1. 01
    Discovery & Scoping
    1 to 2 wks · Use case · AI Act risk classification · DPIA pre-assessment
    Discovery
  2. 02
    MVP / Prototype
    3 to 6 wks · Functional prototype · Data audit · Records of processing · First red team
    MVP
  3. 03
    Production Build
    5 to 11 wks · Full system · Logging · Audit trails · Technical doc Art. 11 · TOMs
    Production
  4. 04
    Compliance Audit
    10 to 12 wks · AI Act conformity · GDPR sign-off · Bias & robustness tests · Pen test
    Audit
  5. 05
    Deployment & Operations
    from wk 12 · Rollout · Drift monitoring · Incident response · Post-market surveillance
    Operate & maintain →
  1. GDPR & DPIA
    Data protection impact assessment · RoPA · TOMs · Privacy by design
  2. AI Act compliance
    Risk management · Technical doc Art. 11 · Conformity assessment · CE marking
  3. Safety / Red team
    Adversarial tests · Bias audit · Robustness · Output filter · Incident drills

Let's talk about your project.

First we check whether the project fits your business model. Then we work together on architecture proposal and phase estimate.

Request a first call

Projekt-Detail

    Got a project in mind?

    We reply personally. First a use-case check, then an architecture proposal.

    Start your inquiry