AI-caused calamities are human oopsies at scale
So many of the “AI-caused calamity” stories I see come down to basic gaps in permissions and process, the same issues I've seen take down production from humans oopsies. AI just does it faster and at scale.
Some people want to believe the fantasy that AI will handle these concerns for them. Others just don’t know better (Dunning-Kruger effect). Either way, these hazards have always existed and it's still the responsibility of humans to prevent/reduce the risk of them striking.
Jessie Grenfell
Jessie has spent 20+ years architecting and delivering software for organizations where complexity is the norm: financial services, insurance, nonprofits, and regulated industries where getting it wrong isn’t an option. She specializes in the hard problems: unique operational workflows, cross-system integrations, and compliance requirements (HIPAA, CCPA, SOC 2) built into the design from the first conversation.
Her AI work comes out of that background. She has shipped AI to production, not just piloted it: a multi-agent research pipeline that cut a client’s investigation time from over an hour to minutes, and natural-language analytics that let executives ask plain-English questions of their operational data and get validated charts back. Years building business critical systems taught her where AI belongs in a business process and where it doesn’t.
At Codality, she leads engagements from discovery through delivery, because she’s seen what happens when that thread gets cut.