Use cases

AI applied to real processes

Four examples of how we go from a business challenge to an AI solution in production — each with its context, its solution and its differentiator.

Case diagram: An AI transformation team, from zero to operation

International company · headquartered in Spain

An AI transformation team, from zero to operation

Challenge

They need an AI transformation team able to identify priorities and execute the change.

Solution

An AI committee with the main business areas that identifies quick wins and an implementation plan. We start with human-in-the-loop and then train and hand over to the operational follow-up teams.

Result / differentiator

Processes addressed: WIP control, customer support, invoice automation and marketing automations.

  • WIP control
  • Customer support
  • Invoicing
  • Marketing
Case diagram: Automated code refinement and quality

Security sector · in-house development team

Automated code refinement and quality

Challenge

Automate the development team’s code refinement and quality routines.

Solution

Agents that analyse the applications on their APN platform, create Issues in their Git repositories and automate the creation of resolution Pull Requests.

Result / differentiator

The team spends less time on repetitive tasks and keeps code quality consistent.

  • APN analysis
  • Git Issues
  • Automated PRs
Case diagram: Computer vision at physical access, 100% offline

Jewellery sector

Computer vision at physical access, 100% offline

Challenge

Use AI to analyse the customers entering through each jewellery store’s security gates.

Solution

Computer vision that measures the number of people and weight, and identifies traits and behaviour patterns. Offline processing with hardware in each store, without transmitting any information outside the premises.

Result / differentiator

Privacy and data sovereignty as a differentiator: no data leaves the store.

  • Computer vision
  • Edge / on-prem
  • Privacy
Case diagram: From PDF documentation to an objective risk score

Financial sector

From PDF documentation to an objective risk score

Challenge

Analyse risk profiles from heterogeneous documentation.

Solution

Analysis of the PDF documentation provided by the client and the company, plus a risk algorithm that suggests a score and returns the objective data obtained in the process.

Result / differentiator

Faster, more traceable risk decisions, with the evidence behind every score.

  • Document analysis
  • Scoring
  • Traceability

Does your challenge look like any of these?

Tell us. We start by understanding the process and propose the solution that fits best — without tying you to any specific technology.

Talk to an expert View services