AI integrations

When information is difficult to find or process, we assess whether AI can reliably handle a specific part of the work.

A person viewed from behind approaching the entrance to a business premises.

When it helps

Useful for searching large document collections, extracting recurring information and processing images or events. We start with sample data and accuracy criteria to assess suitability before deployment.

What it includes

  • Search and answers based on company documents and internal knowledge.
  • Data extraction, classification and document summaries.
  • Licence plate recognition (LPR), image recognition and event analysis.
  • Connecting results to internal systems and staff review.

Our approach

We agree what needs to be recognised, which errors are acceptable and when human review is required. For entrances and parking areas, we consider capture conditions and what should happen after an event is recognised. Sources, access and limitations are defined for each case.

What we agree at the start

  • What specific task should AI perform?
  • Which data will be used to evaluate quality?
  • Who has access, and which actions require confirmation?

After deployment

We agree how quality will be checked with new data, who reviews uncertain results and when changes are needed. Documentation, access and ongoing support form part of that agreement.

Let us discuss your needs

Briefly describe how you work now and what you would like to improve. We will discuss the scope and the available options.

Discuss an AI task