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KLx Launches Proprietary AI Solutions KRAFT and KLAIRE at Lisbon Tech Campus

KLx, the IT subsidiary of the Crédit Agricole Group, has introduced KRAFT and KLAIRE. Developed at its technology campus in Lisbon, these tools mark the company's first proprietary artificial intelligence products built to support technical engineering teams.

Both platforms follow a strict human-in-the-loop framework, ensuring that AI-generated assets are fully validated, corrected, or rejected by human professionals before implementation.

KRAFT: Automating Software Testing Workflows

The platform addresses efficiency bottlenecks through human in the loop AI software testing KRAFT. Traditionally, QA teams manually reviewed technical documentation to draft software specifications and functional tests.

KRAFT automates this process by parsing system documentation to generate:

  • Requirements proposals
  • Tailored test cases
  • Visual user-journey paths to reach specific app functionalities

By maintaining human validation at the center of the lifecycle, developers speed up testing timelines without sacrificing code quality or ultimate decision responsibility.

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KLAIRE: Bridging the Legacy Code Gap

While KRAFT targets software testing, KLAIRE acts as a 24/7 on-demand expert for older, legacy enterprise applications.

Integrated into the KLx Crédit Agricole Lisbon tech campus AI tools ecosystem, KLAIRE specializes in reading and analyzing complex legacy codebases, such as those written in COBOL. Engineers and junior developers can ask KLAIRE direct questions about how an old program functions, receiving immediate explanations as if they were consulting a senior mainframe architect.

A Phased Enterprise AI Strategy

According to Luís Ribeiro, Chief Technology Officer at KLx, the roll-out of KLx proprietary AI solutions KRAFT and KLAIRE balances operational optimization with careful corporate risk management. The products are designed to scale gradually within the organization before being marketed to external Crédit Agricole group partners.

For software developers and QA engineers monitoring financial technology trends, tracking new tech jobs reveals expanding roles in AI-driven development. Tech professionals can also look into regional events to discuss technical engineering and automated workflows with industry peers.