AI for quality assurance

What works today, what doesn’t work yet, and under what conditions.

01 — The problem

You’re being promised that AI will cut your testing effort by a factor of three. Industry figures tell a different story: 43% of organizations are experimenting with GenAI in quality engineering, only 15% have deployed it at scale, and a third see virtually no gains. The problem is almost never the model. It lies in integration with existing workflows, in test data, and in the reliability of what gets produced.

02 — What we do

  • 01

    Separate what is mature from what isn’t

    Test data generation and log analysis deliver results today. Autonomous generation of end-to-end scenarios, much less so. We help you avoid investing in the wrong place.

  • 02

    Govern assisted test generation

    A generated test without an assertion always passes: it increases reported coverage and protects against nothing. We put in place the review guardrails that prevent this invisible debt.

  • 03

    Treat self-healing for what it is

    A real reduction in maintenance effort, and a risk of masking a UI regression. Both are true; you have to decide where to accept it.

  • 04

    Apply AI to analysis rather than to generation

    Failure clustering, flaky test detection, campaign prioritization: this is where the benefit/risk ratio is best today.

  • 05

    Address data and privacy questions

    What leaves your information system, where it goes, and on what legal basis. 63% of organizations cite data limitations and risks as a barrier — and they are right.

04 — What you receive

Named deliverables, not promises. You know what you will receive before we start.

  • Assessment of AI use cases applicable to your context

  • Review guardrails for generated tests

  • Data and privacy risk analysis

  • Roadmap for gradual adoption

05 — Technical ecosystem

Tools do not make quality. We master them so that we can choose the right one, not to use them as a selling point.

  • AI-assisted test agents
  • Log analysis
  • Synthetic data
  • Visual testing

Separate promise from reality

We don’t sell any AI tools. We help you choose.

Separate promise from reality