AI is no longer just about automation or productivity. It is creating new revenue streams, new markets, and new business models. But AI only scales when people trust it. In this session, I will share how quality engineering, software testing, and QA practices can become strategic enablers for AI adoption, AI monetization, and business growth. The talk will cover practical ways QA teams and service companies can evolve from testing software to assuring AI-driven business outcomes.
Key takeaways:
1. Participants will understand why AI beyond automation is not only about reducing effort, but about creating new business value, revenue models, and market opportunities.
2. Participants will learn how quality engineering can become a growth function by building trust, reliability, safety, and adoption confidence in AI-powered products.
3. Participants will discover how traditional QA services such as functional testing, automation, performance, and security testing can evolve into AI-era quality services.
4. Participants will get a practical framework to evaluate AI systems across usefulness, reliability, safety, testability, and traceability.
5. Participants will see how QA professionals, agile teams, and service companies can move from selling effort to selling confidence, outcomes, and AI assurance services.
- Date:20/06/2026
- Time:11:10
- Event:AI Beyond Automation: Creating New Revenue, Markets & Business Models @Ahmedabad
