Lead With AI

"Why did nobody think of this by now?" Narmeen Kazmi asked herself after discovering her textile client spent millions per year on manual data entry. Working with a huge client supplying Pretty Little Thing and Boohoo, Narmeen watched teams waste time fetching data, organizing spreadsheets, and manually entering purchase orders. In this episode of Lead with AI, Dr. Tamara Nall speaks with Narmeen, Founder and Project Manager at Datrix, about building an AI-powered system that automates data entry by connecting directly to Gmail, reading purchase orders and receipts, and intelligently matching information to your database schema. The platform features a unique sticky-note dashboard UI designed for quick insights rather than lengthy reports, works with any retail business receiving orders via email, and deliberately avoids reinforcement learning to protect client data privacy. Narmeen reveals why she stopped searching for existing tools and built her own MVP during a hackathon, explains the vector-based matching process that doesn't require training on your data, and predicts simple solutions like Datrix will change the world more than flying cars. For anyone drowning in paperwork, manual data entry, or order processing chaos, Narmeen explains how AI can turn messy inboxes into organized databases automatically.Want to automate your data entry chaos? Visit Datrix to join the waitlist and discover how AI can eliminate manual purchase order processing, organize receipts automatically, and turn email chaos into clean database entries.For more insights on how AI is transforming business and society, subscribe to the Lead with AI podcast, where we explore the frontiers of artificial intelligence with the innovators who are shaping its development.#LeadwithAI #DataEntry #AIAutomation #Datrix #RetailTech #DataProcessing #AIForBusiness #SmallBusiness #StartupStory #FemaleFounder #AIInnovation #DataManagement #PurchaseOrders #BusinessAutomation #TechStartup Follow or Subscribe to Lead with AI Podcast on your favorite platforms:Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | Podbean: Lead-with-AI-Podcast | YouTube: @LeadWithAiPodcast | Facebook: Lead With AI | Instagram: @leadwithaipodcast | TikTok: @leadwithaipodcast | Twitter (X): @LeadWithAiFollow Dr. Tamara Nall:LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: [email protected] with Narmeen Kazmi: LinkedIn: @Narmeen-Kazmi | Website: Datrix.App

"I wish I had a spiritual director in my pocket." That thought hit Joshua during a lonely night after losing both parents to cancer within two years. Two days later, he coded a prototype. In this episode of Lead with AI, host Dr. Tamara Nall speaks with Joshua Pinto, Founder of RYSEN, about building an AI spiritual companion that helps people find words to pray when they can't find them themselves. When Joshua first showed the app to his wife, she asked something raw about balancing motherhood, exhaustion, and faith. The response was so gentle and true to Catholic teaching that she cried—the moment he knew this was more than just clever code. Joshua shares how RYSEN draws from Scripture, Church tradition, and the saints while maintaining clear ethical boundaries. For anyone struggling to find words for prayer or seeking pastoral care between Sundays, Joshua explains how technology can walk alongside faith without replacing sacred relationships.Want to experience AI-powered spiritual companionship? Visit rysen.life to access RYSEN's theologically grounded, pastorally sensitive faith companion that walks alongside you in your spiritual journey.#AICompanion #SpiritualGuidance #FaithTech #CatholicAI #PrayerHelp #ArtificialIntelligence #MentalHealthSupport #GriefSupport #FaithJourney #PastoralCare #AIForGood #ResponsibleAI #CatholicTech #TechInnovation #DigitalFaith Follow or Subscribe to Lead with AI Podcast on your favorite platforms:Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | Podbean: Lead-with-AI-Podcast | YouTube: @LeadWithAiPodcast | Facebook: Lead With AI | Instagram: @leadwithaipodcast | TikTok: @leadwithaipodcast | Twitter (X): @LeadWithAiFollow Dr. Tamara Nall:LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: [email protected] Joshua Pinto:LinkedIn: @Joshua-Blaise-PintoRYSEN AI:Website: Rysen.Life

Twenty-eight million dollars in savings from one healthcare system. Two million dollars saved in 90 days for another. Kylen Bailey, Executive Director of Growth at Clarium, built an AI platform that consolidates thousands of siloed data sources across hospital supply chains into real-time disruption insights. In this episode of Lead with AI, Dr. Tamara Nall speaks with Kylen about how Clarium predicted Hurricane impacts on gown supplies for Louisiana hospitals, automated preference card management that was stuck in paper binders, and saved healthcare systems tens of millions by eliminating surgical waste. Kylen shares how the platform pulls data from electronic health records, ERPs, distributors, and even weather trajectories to tell supply chain teams exactly which 10 orthopedic surgeries will be affected by factory shutdowns. Clarium remains fully unbiased across suppliers, giving hospitals the intelligence to make informed decisions when disruptions hit. Kylen reveals his vision for warehouse robots working alongside AI platforms, predicts AI has already created more than we realize, and believes supply chain advancements are the most underrated tech trend.Want to experience AI-powered healthcare supply chain resilience? Visit clariumhealth.com to discover how Clarium consolidates siloed data, predicts disruptions in real-time, and saves healthcare systems millions through intelligent logistics automation. Follow or Subscribe to Lead with AI Podcast on your favorite platforms:Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | Podbean: Lead-with-AI-Podcast | YouTube: @LeadWithAiPodcast | Facebook: Lead With AI | Instagram: @leadwithaipodcast | TikTok: @leadwithaipodcast | Twitter (X): @LeadWithAiFollow Dr. Tamara Nall:LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: [email protected] with Kylen Bailey: LinkedIn: @KylenBailey | Medium: KylenBailey.Medium.com | Email: [email protected] Clarium Health: Website: ClariumHealth.com | LinkedIn: @Clarium-Health

Thirty percent of all clothes go straight from the factory to the landfill without ever being worn. Zoher Karu, Head of AI at Taelor, built an AI-powered styling platform that tackles this sustainability crisis while solving what he calls "the matching problem" for men's fashion. In this episode of Lead with AI, Dr. Tamara Nall speaks with Zoher about how Taelor learns your preferences, body type, and calendar to deliver outfits that build confidence and reduce waste. Zoher shares how the platform processes data like a brain driving down the street, evaluating weather, upcoming events, fit preferences, and style compatibility simultaneously. One customer landed a job because the right outfit gave him confidence in the interview. Taelor combines machine learning with human oversight, renting clothes to users who can keep favorites and return the rest, creating feedback loops that tell manufacturers what men actually want to wear. For anyone curious about how AI transforms everyday decisions while making the world more sustainable, Zoher explains what happens when algorithms understand style better than most humans.Want to experience AI-powered personal styling? Visit taelor.ai to sign up and access Taelor's machine learning platform that matches your style, fits your calendar, and builds confidence through better fashion choices. Follow or Subscribe to Lead with AI Podcast on your favorite platforms:Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | Podbean: Lead-with-AI-Podcast | YouTube: @LeadWithAiPodcast | Facebook: Lead With AI | Instagram: @leadwithaipodcast | TikTok: @leadwithaipodcast | Twitter (X): @LeadWithAiFollow Dr. Tamara Nall:LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: [email protected] Zoher Karu: LinkedIn: @ZZKaru | Facebook: Zoher.Karu | Email: [email protected] AI: Website: Taelor.Style

Most companies deploying AI models right now cannot prove what's actually running in production. Jesse Williams, Co-founder and COO of Jozu and former VP at Docker, built infrastructure that cuts model audit compilation from three weeks to seconds while solving the security gap keeping enterprise teams awake at night. In this episode of Lead with AI, Dr. Tamara Nall speaks with Jesse about the moment defense contractors discovered their ML pipeline had no single source of truth, how a malicious prompt change slipped into AWS developer tools unnoticed, and why KitOps packages everything into cryptographically signed artifacts. Jesse shares how one team wasted 80 developer hours creating audit logs that Jozu now generates automatically, why infrastructure-level ethics matter more than model guardrails when a Chevy chatbot sold a car for one dollar, and his prediction that we'll soon see the first billion-dollar company run by 10 people as AI levels the playing field globally.Want to experience secure AI deployment? Visit jozu.com and kitops.org to access the open source framework and enterprise platform making ML governance automatic.#AIGovernance #EnterpriseAI #AIInfrastructure #DevOpsAI #LeadWithAI #FutureOfAI #AIMissionControl #ModelOps #ResponsibleAI #TechInnovation #OpenSourceAI Follow or Subscribe to Lead with AI Podcast on your favorite platforms:Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | Podbean: Lead-with-AI-Podcast | YouTube: @LeadWithAiPodcast | Facebook: Lead With AI | Instagram: @leadwithaipodcast | TikTok: @leadwithaipodcast | Twitter (X): @LeadWithAiFollow Dr. Tamara Nall:LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: [email protected] Jesse Williams: LinkedIn: @JesseWilliams1Follow Jozu: Website: Jozu.com