Amsterdam · Netherlands

Vaibhav
Shrivastava

Scaling Trust in the AI Economy

I build systems that make digital economies trustworthy. Over 15 years — from co-founding an acquired fintech startup to leading financial products for 40M+ users at Xiaomi, to heading fraud prevention and customer trust at Booking.com — the through-line has always been the same: complex trust problems at the intersection of product, data, and human behaviour.

Alongside the operating role, I build — and have been building since long before the current tools made it easier than it used to be. From a payments startup I co-founded and sold, to financial products at scale inside large companies, to AI tools I ship alone on weekends. Everything I am currently working on is at /build. I write about this daily in AI for PMs — One Day at a Time and am working on a book, Trust Debt, on how organisations accumulate structural trust failures.

I invest in and advise founders building the next generation of digital platforms in fintech, marketplace, and AI.

The next chapter sits at the intersection of two bets — that AI changes who can build, and that trust becomes the binding constraint on what gets built. The work I'm orienting around is leading an AI-native company at that intersection: where the operating thesis, the product, and the trust architecture are designed together from day one, not stitched in after launch.

"The next wave of platform failures won't come from fraud — they'll come from organisations that optimised for growth while accumulating trust debt they never measured."