Context. In highly regulated sectors (banking/insurance, healthcare, energy, pharma, public services), it’s tempting to “plug in a RAG” so a LLM can answer from internal documentation. Poorly framed, results disappoint: inaccurate answers, compliance risks, unpredictable latency, low adoption. Built correctly, RAG becomes a verifiable knowledge system that shortens
Introduction Since generative AI tools like ChatGPT, Claude, and Copilot have entered public awareness, two dominant narratives have emerged: one predicting massive job losses, the other seeing transformative economic opportunity. A new study published by Yale’s Budget Lab, titled “Evaluating the Impact of AI on the Labor Market: Current
 
            The world doesn’t need AI everywhere Artificial intelligence is no longer a promise—it’s a reality. Every week, new platforms and tools claim to “revolutionize everything.” From AI-generated emails to automated decision-making, we live in a time where it feels like the answer to every question is simply:
Managing regulatory filings and internal healthcare documents is time-consuming, error-prone, and resource-intensive. Teams handling 12,000 documents per year can spend 20 weeks manually processing them, creating inefficiencies and compliance risks. NVMD SmartComply is an AI-driven regulatory automation tool designed specifically for the healthcare industry. It streamlines compliance, ensures data