Titan Workshop - Aug 2026

Qualitrix and Titan Company came together for an AI-Led Test Automation Workshop, exploring how AI-led automation and real-world human validation are reshaping quality engineering for one of India's most trusted consumer brands.

27 August 2026, Bangalore

Qualitrix hosted an AI-Led Test Automation Workshop with Titan Company, a Tata Group enterprise, bringing together engineering, quality, and product leadership from both organizations to examine how AI-led automation is changing the way trusted digital experiences get built and validated.

Titan’s portfolio, spanning Tanishq, Titan Watches, Mia by Tanishq, Skinn, Irth, and its eyewear business, serves customers across web, POS, and mobile at national scale. Trust, built over decades, is the foundation of the Titan brand. The workshop centered on a single question: how does quality engineering keep pace with that standard as AI becomes part of every layer of the digital experience.

What the Workshop Covered

The session moved from context to demonstration:

01

The AI Revolution, Trust Engineering, and AI-Led Test Automation

A look at how AI is reshaping every layer of the technology ecosystem, from engineering trust to product trust to platform trust, and the new challenges this creates for quality engineering organizations.
02

Titan's Automation Journey

A candid look at Titan's quality engineering landscape, the scale challenge created by growing product surface area and release frequency, and the opportunity to evolve from scripted, pre-production testing toward AI-led, continuous validation.
03

Product Showcase

A live demonstration of Nogrunt, Qualitrix's AI-led, no-code test automation engine, generating test cases and automation scripts directly from a real Titan use case, alongside Oprimes, Qualitrix's real-world human validation network spanning 10 million-plus contributors across 130+ countries.
04

Open Discussion

A direct exchange on the questions enterprise leaders are asking about AI-led automation: what accountability looks like when AI decides what to test, whether more test execution actually means more quality, and how the role of the tester evolves as automation takes on more of the work.