Deutsch

AI for agencies and service firms

Your growth is tied directly to headcount. We use AI to take the recurring work out of delivery, and help you turn your methodology into a product of its own.

From practice

What AI delivers for high-touch service businesses

High-touch service businesses hit the same ceiling sooner or later: every new client needs dedicated expert time across a multi-step process, so revenue and cost scale roughly in lockstep. The model works, it just does not scale.

For the agency notus we took on both halves. First delivery: we mapped the value chain end to end and automated exactly where time went into tasks that need no judgement, such as turning raw material into structured drafts and cutting back-and-forth in review cycles.

Then the second half, which fewer firms attempt: the frameworks and playbooks that had lived for years in people’s heads and internal documents became notusOS, a client-facing platform. That puts a done-with-you model alongside the done-for-you business and reaches a segment that was previously out of range.

We work from Vienna across the whole DACH region, on site or remote. Get in touch for a free, no-obligation intro call.

Bernhard Hauser running an AI training session
Why Waterglass

What we actually do for agencies

Map the value chain

Before we build anything, we look at where expert time actually goes. The approach is targeted, not broad: specific points in the chain, not one tool for everything.

Augmentation, not replacement

The guiding principle is giving experienced people more leverage rather than replacing their judgement. The tools fit into existing workflows instead of imposing new ones.

From service to product

We bring systems architecture and help with the hard question: which parts of your methodology work self-service, which need guidance, and which still require an expert. At notus that became notusOS.

Processing in Europe

Client material does not leave the EU. On request with European-hosted or open models on infrastructure we run ourselves.

How it runs

In 4 steps to the first result

A sequence that works alongside day-to-day business: few meetings, clear interim results and a decision after every step.

  1. Intro call

    In an intro call we establish your starting point and your goals. Then we go through the options for putting AI to work in your company. Free and without obligation.

  2. Map the chain

    We walk your delivery from enquiry to sign-off and record where expert time goes into tasks that can be partly or fully automated.

  3. Workshop and prioritisation

    One workshop with leadership and team puts the use cases in order by value, effort and risk. Afterwards it is clear what to start with and who owns it internally.

  4. Pilot and operations

    The first use case goes into production, with real data and a measurable result. On request we then take on running it, so the solution does not fail for lack of staff.

Selected references

Successful client projects

Read case studies
Media

€2M+Annual turnover

Read case study
HR

€25M+Annual turnover

Read case study
Logistics

€1.7BAnnual turnover (Group)

Read case study
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
Questions & answers

Common questions about AI in agencies

Where does AI start in an agency?
Where expert time goes into work that needs no judgement: turning raw material into structured drafts, shortening review and approval cycles, recurring research and reporting. At notus we mapped the chain end to end for exactly that, instead of rolling out a tool broadly.
Does quality suffer when AI works inside delivery?
Not if the cut is right. The guiding principle is augmentation: AI takes the groundwork, the judgement stays with experienced people. The tools fit into existing workflows so the team can use them without mastering prompt engineering.
What does turning your methodology into a product mean?
Moving the intellectual property out of a high-touch service and into a leaner, more scalable format. At notus that became notusOS, a client-facing platform where the client takes the lead and the agency advises alongside. The hard part is not the technology but the boundary: which parts work self-service, which need guidance, which still require an expert.
Does a done-with-you offer cannibalise the existing business?
In practice it does not, when the two tiers speak to different buyers at different prices. The co-driven tier can be an entry point into the full-service offer, or an alternative for everyone who would rather stay involved.
What happens to our clients’ material?
It stays in the EU. We design data protection in from the start and can run the models on European infrastructure we operate ourselves. For agencies working under confidentiality, that is the difference between a tool that may be used and one that may not.
We are a small team. Is it worth it?
There is no minimum size, but there is a sensible precondition: there has to be a step that recurs often enough for automation to pay off. In an agency that is usually preparing raw material or running the review cycle. An intro call is enough to judge it in a few minutes.
What does an AI project in an agency cost?
Scope depends on your starting point and the question, from a compact assessment through to full implementation with operations. After a short intro call you get a fixed, no-obligation quote, scope, sequence and cost included.
Who runs the solution afterwards?
We do, if you want. Running it is a separate, clearly priced part of the offer: monitoring, updates and adjustments when your workflows change. If you want to run it in-house, we document accordingly and hand over.

Let us talk about AI in your agency

Tell us where your company stands. We will show you where AI has the greatest leverage and put together a free, no-obligation quote.

How can we help?

Book an intro call and we will look together at which workflows are worth it and which are not.