We work with solutions that allow EU processing and exclude your data from training.

Do we need our own models?

Rarely. Existing models with your data and clear rules are usually enough.

How do you measure the benefit?

In hours saved per process, measured before and after.

Strategy & adoption

AI consulting: find the use cases that pay off

We show where artificial intelligence saves real hours in your business and support the rollout.

Free initial call

Reply within 24 hours · no obligation

We start by mapping your workflows and assess possible AI applications by time saved, risk and effort. We then support pilot projects, clarify data protection and data sources, define rules for usage and train the teams. Honest assessment matters to us: where AI adds nothing, we say so.

Scope of services

What this service includes

Analysis of workflows and time drains
Rated list of possible AI use cases
Pilot project with a measurable goal
Data protection, data and governance concept
Internal AI usage policy
Training and team support

Expertise & perspective

What matters for your project.

AI consulting clarifies specific tasks and prerequisites for using artificial intelligence. Zensations in Vienna examines workflows, assesses potential applications and supports preparation of a testable pilot.

Describe effort and the problem concretely

A recurring workflow with known current effort is a useful starting point. Manual steps, information sources and intended outputs are documented. Not every problem needs AI: a simple rule or better integration may be more appropriate. Consulting therefore separates actual requirements from general expectations about the technology.

Assess suitability and limitations

Data quality, access rights and acceptable error levels affect suitability. Writing assistance creates different requirements from automated decision-making. The team needs to identify outputs requiring human review and information that must not be processed. Technical feasibility alone does not establish safe or commercially worthwhile use.

Pilot with clear criteria

A pilot is evaluated using representative tasks, including difficult cases. Predefined criteria support comparison with the current workflow. Findings inform adoption, training or further development decisions. One successful example is insufficient evidence; visible limitations and a meaningful human review step matter just as much.

Useful for the initial conversation

Recurring tasks and current effort
Sample data with confirmed permission to use it
Quality criteria and responsible people

Who it is for

A good fit if

Companies with many repetitive tasks
Teams already using AI in an uncoordinated way
Management teams needing a solid assessment

Frequently asked questions

Clarity before you start

Is our data safe?: We work with solutions that allow EU processing and exclude your data from training.
Do we need our own models?: Rarely. Existing models with your data and clear rules are usually enough.
How do you measure the benefit?: In hours saved per process, measured before and after.

Part of Artificial Intelligence

Let’s make it happen

Let's talk about your project.

Whether it's a new website, AI in marketing, or a full relaunch, we listen and deliver a clear path forward.

Reply within 24 hours
Free and non-binding
A concrete proposal instead of a sales pitch

office@zensations.at