The practitioners behind Praxora Lab, in their own words

A note on this panel

I read an AI deployment the way an economist does. Veronica, on the panel beside me, reads the same one as an engineer who has to make it survive contact with a real budget and a real building. Sameen reads it from inside HR, watching what a workforce actually does once a tool lands on their desk. Jason reads it for the compliance exposure a business case usually leaves out. None of us would name the same risk first, and that is deliberate.

Balance, done properly, means an AI decision has already been tested against the finance question, the workforce question, the compliance question, and how it plays once someone outside the building hears about it, before it ever reaches whoever has to sign off on it. Skip one of those questions and the result is not a smaller mistake. It is a blind spot nobody in the room was positioned to catch.

None of the judgment on this page was borrowed. Everyone here built theirs inside a real organisation, under a real deadline, with real consequences for getting it wrong, and then agreed to put their name behind it in public. I am grateful for that, and for the years of hard-won experience it took to earn it.

Their profiles are below, in their own words. Have a look before you decide who is the right fit for your room.