Gabay is an AI-first guided-placement concept that makes overseas recruitment more transparent for workers and more efficient for agencies—without removing the human specialists who make high-stakes calls.
Imagine Maria, a nurse from Cebu, offered a hospital role in Riyadh—on the condition that she pays three months of salary upfront before even boarding a flight. She cannot tell whether the fee is normal, legal, or avoidable. The agency is her only source of information, so she pays.
This is bigger than one bad agency. Recruitment processes can be slow and opaque, creating an information gap that makes it difficult for workers to understand their options, requirements, and rights.
From the moment a worker uploads a résumé and passport, Gabay builds a case: a clear checklist, relevant requirements, transparent fees, and a timeline that updates as each step is completed.
The goal is to replace paper-chasing and unclear handoffs with a recruitment experience that competes on speed and clarity—not on withholding information.
Representative agent
Compliance agent
Reduce the document collection, repetitive questions, and manual tracking that take recruiters away from supporting people.
Give every worker a guide that explains recommendations, clarifies requirements, and tracks progress.
Let AI coordinate routine work while human specialists provide oversight and make important final decisions.
Gabay placed 2nd overall at OpenAI’s Global Build Week Manila, among 250+ participants and 60+ products. The project demonstrated how an AI-first workflow can make recruitment more transparent without treating human expertise as an afterthought.
The next step is validating the assumptions with OFWs, ethical recruiters, and advocates—especially around fees, compliance, and the moments where escalation to a person matters most.