Marcelo Lebre
@marcelolebre • 7,843 subscribers
building global payroll infrastructure, co-founder & president @remote
Videos
We’ve built an AI learning program for everyone, free. After training all 2000 people at @Remote to work with AI we saw an impressive impact We decided to open up how we got everyone building - Engineers, lawyers, recruiters, payroll specialists, support etc.
Marcelo Lebre278,497 просмотров • 4 дней назад
We cancelled a $60,000 contract this year because someone on the Remote team built the replacement in an afternoon. It took 3 hours and 17 minutes. Total cost: $216. The tool tracks where our people are, surfaces live travel advisories, and automates the outreach workflow when something needs attention. This is the part of AI that I care about: A person close to the problem saw a workflow that did not fit how the team worked, used the tools available, and built something better. No long procurement cycle. No waiting for a vendor roadmap. No pretending that a generic tool would understand the exact edge cases we needed. Remote has spent years building the boring infrastructure underneath global employment: payroll, contracts, entities, payments, local rules, permissions, approvals, and workflows. Boring is good here. Boring means the system knows enough to be trusted. When you put agents on top of that kind of infrastructure, they become a way to get very real work done. The hard questions in HR are usually messy. What does this country require? What does payroll need? What needs approval? What happens next? Most software makes people stitch those answers together across tabs, exports, dashboards, and Slack messages. Agents should shorten the distance between the question and the work. That is the part I am excited about: teams building what they need, on top of the same data, permissions, and guardrails already inside Remote. Get started:
Marcelo Lebre27,974 просмотров • 2 месяцев назад
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