Where do the models run?

Depending on requirements, with EU providers or in your own environment.

What does operation cost?

It depends on usage. We calculate usage costs up front and set limits.

What happens with wrong answers?

We work with source citation, verification steps and a clear handover to people.

Implementation

AI development: assistants and automation for daily work

We build chat assistants, document processing and automations connected to your systems.

Free initial call

Reply within 24 hours · no obligation

We develop AI applications based on your own data: assistants that prepare quotes, systems that read and route documents, or search that answers from your manuals. We insist on traceable sources, logging and a clear fallback when the model is uncertain.

Scope of services

What this service includes

Concept and model selection
Preparation and connection of your data sources
Development of assistant, automation or search
Source citation, logging and approval levels
Testing with real cases from your daily work
Operations, cost control and further development

Expertise & perspective

What matters for your project.

AI development integrates artificial intelligence into specific applications. Zensations in Vienna builds tailored assistants, chatbots and automations. Data sources, permissions and intended workflows guide the technical concept.

Define the application and knowledge base

A chatbot needs more than a conversational interface. Its tasks and information sources must be defined. Document analysis also requires document types, expected outputs and exceptions to be specified. Sources need to be current and permissible to use; a large quantity of data alone does not ensure reliable answers.

Integrate with clear boundaries

An AI application can complement existing systems but must not bypass their permissions. Protected information requires appropriate access controls. Actions need approval rules and failure handling. The interface should show where outputs require review and how people can proceed when an answer is unclear.

Assess quality with real cases

Testing examines not only successful examples but missing information, conflicting sources and inappropriate questions. Factual accuracy and reliable workflow need separate criteria. Model or data changes can require further assessment. AI can produce convincing but incorrect results; planning, evaluation and everyday use must account for this.

Useful for the initial conversation

Tasks and intended outputs
Available documents and data sources
Integrations, permissions and human approvals

Who it is for

A good fit if

Companies with large document archives
Service teams with recurring requests
Businesses with manual data transfers

Frequently asked questions

Clarity before you start

Where do the models run?: Depending on requirements, with EU providers or in your own environment.
What does operation cost?: It depends on usage. We calculate usage costs up front and set limits.
What happens with wrong answers?: We work with source citation, verification steps and a clear handover to people.

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