04 / AI & AUTOMATION

Intelligence.
Put to work.

The interesting AI solves a concrete task. We can build around the company's own sources, connect selected tools and give people control over what happens next.

The examples show possibilities we can build. No AI service is connected to the demonstrations.

SourcesToolsControl

Shaped by possibilities

Choose an example

Example 01 / 03

An assistant that can show where the answer came from.

With retrieval-augmented generation, often called RAG, the system searches for relevant content before the model writes an answer. The knowledge base can be approved documents, product data or an internal handbook.

Practical example

A support agent can ask about a warranty and get an answer that points to the right document. A team can find its way around product sheets without knowing the document name. Access control must limit which sources each person can use.

How it can be used

For an equipment supplier, the customer can ask which parts fit a specific model. The system finds the relevant product sheets, shows the source and asks for more information if the model number is missing. When there is no basis for an answer, it should say so and offer a human contact.

What we aim for

A faster starting point for finding information, with traceable sources instead of an answer with no grounding.

RAGSemantic searchSource references

Example 02 / 03

Documents that set something in motion.

Incoming documents such as invoices, applications and emails can be read, sorted and sent to the right place. People approve whatever has consequences.

Practical example

An invoice is read, the key fields are extracted and proposed in the accounts. An employee sees the proposal and approves it with one tap.

How it can be used

Email enquiries are categorised and routed to the right team, with a draft reply.

What we aim for

Less manual copying, with people deciding what matters.

Document flowExtractionApproval

Example 03 / 03

Conversations with clear boundaries.

A conversational assistant needs limits: what it can answer, which sources it uses and when it should hand over to a person.

Practical example

An assistant on a website answers common questions, says when it is unsure and gives a direct route to an employee.

How it can be used

An internal assistant only sees the documents each person has access to.

What we aim for

An assistant people can trust because it shows its limits.

GuardrailsAccess controlHandover

Experience the technology

From question to action.

See how the parts fit together.

01Question
02Source search
03Answer
04Control

A concrete task gives a better starting point.

An interactive explanation of one possible setup. No AI model or external systems are connected to this view.

What does this mean for your project?

Source search does not eliminate errors. We have to test the answers, keep the content up to date and decide what is left to a person.

Source: OpenAI: File search

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we should look at?

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Tell us what you want to build.

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Intelligence.Put to work.

Choose an example

An assistant that can show where the answer came from.

Documents that set something in motion.

Conversations with clear boundaries.

From question to action.

What does this mean for your project?

Have a taskwe should look at?

Tell us what you want to build.

Intelligence.
Put to work.

Have a task
we should look at?