What more interesting to understand is say if the testing involves hardware, like involves camera to validate data, then how ill AgentiC CI be helpful here?
What challenges do QA and QE teams face in balancing regulatory requirements with delivery?
How do you test for “trust” when users expect zero tolerance for errors in finance?
What emerging technologies (AI/ML, RPA, blockchain) are changing the way QE is conducted in finance?
Is that agent in-built or are you using any open-source agents that already available in the market?
Curious to know if these are already implemented or just PoC materials and assumption that are bring presented? Would love to know if these agents are running in production and what are the real usable results?
How do financial organizations measure the ROI of QE initiatives?
How has the definition of “quality” evolved in financial services over the last decade from stability to trust, speed, and beyond?
How has Quality Engineering evolved from being a supporting function to becoming a strategic enabler of trust in financial services?
How can financial organizations balance automation with manual testing to ensure risk-free operations?
How are financial services leveraging continuous testing to support faster product releases?
Can we leverage AI like playwright mcp server to create page object model web element scrapping?