We are your AI automation agency

We automate recurring processes with intelligent AI agents – from analysis through implementation to ongoing operations. GDPR-compliant on European infrastructure.

From analysis to operations

Process automation with artificial intelligence

As an AI automation agency, we take over the work that costs your team hours every week: answering customer inquiries, processing invoices and receipts, moving data between systems, compiling reports. These recurring processes are exactly what we automate with AI – reliably and transparently.

We do it with custom AI agents: virtual team members that use the same tools as your employees and work around the clock. Unlike rigid automation, they understand context, handle exceptions and keep learning. Which processes to start with is something we work out together – if you like, with a compact round of AI strategy consulting up front.

The most common mistake when starting out is to tackle the most complicated process first. We deliberately look for the workflow that happens often, can be described clearly and whose output can be checked. That one delivers measurable time savings quickly and produces the experience needed to judge the harder cases properly afterwards.

We advise from Vienna for the entire DACH region, on site or remote, and run your automation permanently on European infrastructure. Get in touch for a free, no-obligation intro call.

Bernhard Hauser on stage at ChatbotConf
Our services

How we automate your processes

Process analysis & use-case selection

We look at your workflows and find the processes where automation has the biggest leverage – ranked by time saved, effort and risk, not by hype.

Automation with AI agents

Instead of rigid scripts we deploy AI agents that understand context and handle exceptions. That keeps even complex workflows automatable.

Integration into existing systems

Your automation fits into the tools you already use – email, CRM, ERP, ticketing. No migration, no parallel world.

Operations & continuous improvement

We run your automation permanently, monitor its quality and keep improving it. You can always see what was automated and with what result.

How it runs

From one process to running automation

We automate one workflow at a time and measure what each actually saves. That keeps it verifiable whether the next step is worth taking.

  1. Pick the process

    In the intro call we look for the workflow with the best ratio of frequency, effort and clarity. Sometimes it is not the one you had in mind.

  2. Map it in detail

    We walk through the process with the people who run it every day, edge cases included. Those exceptions are what later decide whether an automation holds up in daily use.

  3. Build and test

    The AI agent first runs in shadow mode: it handles real cases and a human checks the output. Only once the quality is right does it take over in production.

  4. Operate and extend

    We monitor quality and exceptions, refine, and add the next process. You can see continuously how many cases were handled automatically and how many were escalated.

Selected references

Successful client projects

Silia Traub
AI agents are a transformative technology that unlocks efficiencies across a wide range of businesses.
Silia Traub
Director AI & Strategy at willhaben
Oliver Lukesch
We are using AI agents to radically improve our business efficiency and quality of service for our customers.
Oliver Lukesch
CTO at StartMatch

We integrate seamlessly into your infrastructure

Slack Microsoft Teams Outlook Gmail Notion Google Drive Salesforce Slack Microsoft Teams Outlook Gmail Notion Google Drive Salesforce
HubSpot OpenAI Anthropic Datadog Jira Zapier Stripe HubSpot OpenAI Anthropic Datadog Jira Zapier Stripe
GitHub Linear QuickBooks Zendesk Asana Intercom Google Calendar GitHub Linear QuickBooks Zendesk Asana Intercom Google Calendar
FAQ

Common questions about AI automation

Which processes can be automated with AI?
Recurring workflows with a clear pattern work best: answering customer inquiries, processing invoices and receipts, maintaining and transferring data, coordinating appointments, compiling reports. As a rule of thumb: whatever a new employee could handle after a short onboarding, an AI agent can usually take over today.
How are AI agents different from classic automation like RPA?
Classic automation follows rigid rules and breaks as soon as something deviates from the pattern – a different invoice format, an unusual request. AI agents understand content and context: they read free text, handle exceptions and escalate to humans when they are unsure. That makes processes automatable where rule-based tools fail.
How much does AI automation cost?
It depends on the process: a clearly scoped automation is quick to price, a large workflow spanning several systems is accordingly bigger. Tell us the process that costs your team the most time and you will get a free, no-obligation offer with clear costs.
How quickly will we see results?
Most automations deliver their first productive results within a few weeks. We start with one process, show measurable results early and expand step by step from there.
Is AI automation possible in a GDPR-compliant way?
Yes. We run your automation on European infrastructure, use European-hosted or open-source models on request, and make sure sensitive data never leaves your setup. Privacy is part of the architecture, not an afterthought.
We don't know where to start – can you help with that too?
Yes. That is what our AI strategy consulting is for: we review your processes, prioritise the use cases with the biggest leverage and give a clear recommendation – you can implement with us or in-house afterwards.
What happens when the AI agent handles a case wrongly?
We define up front where the agent may decide on its own and where it has to hand over to a human. Uncertain cases get escalated rather than guessed. On top of that, every automation runs in shadow mode at first, so mistakes surface before they have any effect.
Can we trace what was decided automatically?
Yes. Every run is logged: what triggered it, which data was used, what came out, whether it was escalated. That matters for accountability, and it is also the basis for improving the automation deliberately rather than by guesswork.
What happens when our process changes?
We adapt the automation. Workflows changing is the normal case, not the exception, which is why ongoing maintenance is part of operations rather than a project that has to be commissioned again every time.
Do we need new software or licences for this?
Usually not. We build on the systems you already use and connect through the interfaces that exist. Where a licence or an account is needed, it is in the offer before you commit.

Which process should we automate for you?

Tell us one task that costs your team time every week. We'll show you what AI automation can do there – with a free, no-obligation offer.

How can we help?

Book a short intro call. We'll answer your questions and work out together which of your processes are the best fit for AI automation.