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Service / AI integration & automation

AI that fits into your workflows.

Connect existing workflows and bring suitable AI applications into everyday work.

Discuss your project

Use AI where it makes work easier.

We begin with a recurring workflow and assess whether AI is the right approach. Data quality, human review and connections to existing systems are part of planning from the outset.

Possible applications

  • Sort documents and extract information
  • Make existing knowledge easier to find
  • Prepare requests and route them to the right team

A focused pilot with agreed evaluation criteria provides a basis for the next decision.

Scope of work

What we develop together.

01

Connected automation

Connect AI steps to existing systems, with clear rules for exceptions and human review.

02

Analysis and forecasting

Assess data suitability and evaluate models against agreed criteria.

03

Appropriate models

Integrate existing models or assess project-specific adaptations based on the data, effort and goal.

From input to outcome

How the steps connect.

  1. 01

    Receive document

    Select relevant content and permitted data sources.

  2. 02

    Prepare information

    Structure information for the agreed AI task.

  3. 03

    Review result

    Assess quality and route uncertain results to human review.

Illustrative sequence — the actual steps are tailored to your project.

Who this can help

Does this fit your team?

  • Data-Heavy Enterprises
  • FinTech & InsurTech
  • Logistics & Supply Chain
Discuss your starting point

What we need to start

  • A defined process and a contact in the responsible team.
  • Representative data, permitted access and a definition of useful results.

What we clarify early

AI does not guarantee error-free output. Review, approval and uncertain results need to be part of the workflow.

Our approach

From use case to operation.

01

Assess opportunities

Review the process, data sources and recurring tasks together.

02

Plan a pilot

Define a focused use case, evaluation criteria and human approval steps.

03

Build the integration

Connect the appropriate model and test results with representative data.

04

Support operation

Monitor quality, cost and failures; plan changes based on the results.

From the start

Ask the right questions together.

Which task should the solution make easier?

Which data and systems already exist?

How will we bring the solution into everyday use?

Gugu

Our own product

Gugu

Gugu combines generated stories, illustrations and reading voices with a parent PIN and layered content moderation.

Explore the productWhat does AI automation cost?

Before we work together

Good questions before starting.

Do we need our own AI model?

Not necessarily. We first assess whether an existing model, an integration or a rule-based solution can address the task.

What happens after the pilot?

Measured results guide the next decision. For operation, we agree ownership, monitoring, ongoing costs and changes.

Moving forward together

From the first idea to a running product.

We build custom software, integrate AI into existing systems and support our clients for the long term. From Austria.

Discuss your project