Edith Heroux

The talent acquisition landscape in financial services has undergone a profound transformation over the past five years, driven by the integration of artificial intelligence into recruitment workflows. At firms like JPMorgan Chase and Goldman Sachs, AI-driven talent acquisition is no longer experimental—it is core infrastructure. Yet for many practitioners, the operational mechanics remain opaque. How do these systems actually function day-to-day? What happens between the moment a candidate submits an application and the point where a recruiter schedules an interview? This article pulls back the curtain on the technical and operational architecture that powers modern AI-driven talent acquisition in financial services, from initial candidate sourcing through compliance-integrated onboarding. Understanding AI-Driven Talent Acquisition requires distinguishing it from legacy applicant tracking systems. Traditional platforms collected resumes and enabled keyword searches. Modern AI-driven ...

Three years ago, our procurement team at a Fortune 500 manufacturing company faced a crisis that would ultimately transform our entire approach to sourcing and supplier management. We were drowning in supplier data from over 4,000 vendors, spending countless hours on contract analysis, and watching maverick spending erode our carefully negotiated savings. The traditional tools we relied on—spreadsheets, basic e-procurement platforms, and manual review processes—simply could not keep pace with the complexity and volume of decisions we needed to make daily. That crisis became our catalyst for exploring what would become the most transformative technology adoption in our procurement function's history. Our journey with Generative AI in Procurement began not with a grand strategic vision, but with a single pain point: our sourcing team was spending 60% of their time on RFP document preparation and analysis rather than strategic supplier negotiations. This was the entry point that woul...