From Pilot to Standard: Scaling Testing Practices with AI

What to do when testing becomes the bottleneck in development, and the high workload of testers slows down the delivery of business value and increases the risk of errors?

The solution may be a standardised process to integrating AI into QA processes, which covers all stages of shift-left testing: from requirements testing to autotest generation. 

The results of such an implementation speak for themselves:

•  A fourfold acceleration of testing activities.
•  Save 75% of the time for creating test documentation (5-6 hours → 1.5 hours).
•  Speeding up the writing of autotests by 60-70%.

The talk describes a ready-made path from pilot to standard, with specific examples, metrics, artifacts, and practical recommendations for starting implementation.