Author
Co-Founder
Julia is a co-founder of Meilynx, where she's building governance and cost observability for AI workloads — helping organizations understand, control, and scale AI adoption responsibly. She brings more than 16 years of engineering leadership, most recently as Director of Engineering at SeekOut, where she led Platform and AI-enabled product teams. Her earlier career spans finance-analytics leadership at BlackRock, HP, and a range of startups.
Yes. Supervision, recordkeeping, and communications obligations attach the moment an AI-drafted message reaches a client. Here is what that means in practice.
Julia Melo4 min readA decade-old bank questionnaire most large tech vendors already answer every year now has AI governance built in, and most AI companies haven't seen it coming
Julia Melo6 min readSR 26-2 rewrote the bank model-risk rulebook for the first time in 15 years — and left out the exact AI systems banks are racing to deploy.
Julia Melo6 min readAI-related breaches rose 61%, and financial services now carries the second-highest breach cost. The gap is in the workflow around AI, not the model.
Julia Melo7 min readWhy governance and evidence are becoming prerequisites for adoption.
Julia Melo3 min readAI now screens resumes and recommends candidates for interview. States are building a legal framework to protect candidates and prevent discrimination.
Julia Melo3 min readAI is entering exam document requests. The five artifacts examiners will ask for, why screenshots fail as evidence, and how to prepare your AI audit trail.
Julia Melo11 min readFewer than 1% of companies report real AI ROI. They track spend and outcome but never the adoption and proficiency in between. Here's how to close the gap.
Julia Melo4 min readThe rising cost of shadow AI, weak access controls, and absent governance — and where enforcement actually closes the gap.
Julia Melo8 min read