The Intelligence Resources Podcast

Samantha Viola Wilson & Brittany George

Intelligence Resources is a podcast for entrepreneurs, professionals, and everyday AI adopters who want to understand how AI is actually being used in the real world. Hosted by Brittany George and Samantha Viola Wilson, each episode explores practical AI tools, real-world use cases, and conversations with founders, operators, and innovators at the forefront of change. From business growth and productivity to the future of work, Intelligence Resources helps listeners cut through the hype and discover actionable ways to leverage AI in their careers, businesses, and everyday lives.

  1. 1d ago

    The Healthcare AI Arms Race—and Who Pays for It

    Is AI helping patients—or making an expensive healthcare system even more expensive? In this episode of Intelligence Resources, Brittany George sits down with David Contorno, founder of ePowered Benefits, to explore how AI is being used in healthcare, health insurance, and employee benefits—and who ultimately benefits. David shares his perspective on the AI arms race between hospitals and insurers, why broker compensation matters, and how AI can help benefits professionals research prescription costs and automate repetitive work. Brittany and David also explore how patients can ask better questions, evaluate providers, and take a more active role in their care. From rethinking employer health plans to using ChatGPT in everyday life, this conversation examines both the promise of AI and the incentives shaping its impact. CHAPTERS00:00 Welcome to Intelligence Resources00:46 Meet David Contorno: Rethinking employee benefits07:07 Where AI investment in healthcare is going11:18 AI, underwriting, and self-funded health plans14:49 Practical AI uses for benefits brokers28:56 Healthcare vs. health insurance30:25 AI’s potential for doctors and patients34:18 Helping employees navigate care and prescriptions37:12 Why healthcare transparency needs patient demand41:08 Using AI to research providers and quality45:44 Empowering patients to ask better questions47:43 Investing in wellness and rethinking plan costs53:07 Workers’ comp vs. health plans: A revealing comparison56:02 How David uses AI in everyday life58:41 Medical data, ChatGPT, and privacy1:01:12 Connect with David and closing thoughts CONNECT WITH DAVIDLinkedIn: https://www.linkedin.com/in/dcontorno Enjoyed the conversation? Follow Intelligence Resources on Spotify, subscribe on YouTube, and share this episode with someone navigating AI and employee benefits. #AIinHealthcare #EmployeeBenefits #HealthInsurance #HealthcareCosts #ArtificialIntelligence #DavidContorno #IntelligenceResources

  2. Oct 27

    100 Resumes, 20 to Review: How a Chief People Officer Trained AI

    Can AI learn how you work? A Chief People Officer joins Samantha and Brittany to share how he trained Claude by having it observe his resume reviews over two weeks—then used it to narrow 100 applications to 20 for his review while he took lunch. From recruiting and automated reports to employee follow-ups and a workers’ compensation workflow built in two hours, this episode explores how AI can create more time for the people behind the paperwork. Hear how these experiments helped him avoid a planned $35,000 annual software investment and rethink his team’s hiring needs, while keeping human judgment involved. His advice for getting started: don’t be scared to ask AI for help. Connect with Mike Terry, Chief People Officer at Evolution Parking & Guest Services, on LinkedIn. CHAPTERS 00:00 Welcome to Intelligence Resources 01:08 From AI Experiment to First Big Win 03:31 Using AI Agents for Everyday HR Tasks 04:38 Training Claude to Help Review Resumes 07:02 Avoiding a $35,000 Software Investment 08:51 Managing AI Usage Limits 12:48 AI Governance and Company Guidelines 14:43 Choosing Between Claude, ChatGPT, and Copilot 17:02 Finding Help With Benefits Notices 18:27 Teaching AI Your Writing Style 19:35 Reviewing AI-Drafted Emails 21:45 Using Voice-to-Text on the Go 26:00 AI’s Environmental Impact 28:00 How Automation Changed His Hiring Plans 29:46 Building a Workers’ Compensation Workflow 32:10 Two Hours to Build a New Workflow 34:00 Asking AI What Else It Can Automate 35:23 Lessons From Automating Document Downloads 36:37 Keeping Up With Employee Communications 38:25 Preparing a Weekly Executive Brief 39:23 Self-Driving Cars and Trust in AI 42:48 Exploring AI in Parking and Guest Services 44:35 Smart Glasses and Future Possibilities 55:04 Recruiting Results and What Comes Next 58:17 Closing Thoughts and Where to Connect #AIinHR #ChiefPeopleOfficer #ClaudeAI #AIRecruiting #HRAutomation #TalentAcquisition #AIforBusiness #FutureOfWork #IntelligenceResources

  3. Oct 20

    From Designer to Creative Director: Branding in the AI Era

    What happens when a creative agency embraces AI—and discovers that faster production is only part of the story? In episode 15 of Intelligence Resources, Samantha and Brittany welcome Kaycee Zabko, CEO and Creative Director of Tampa-based BayEdge Media, to discuss how AI is changing branding, design, and the business of running a creative agency. Kaycee shares her journey from reluctant adopter to hands-on experimentation, explains why her team combines AI-generated assets with traditional design tools, and describes how a brand’s personality, purpose, and visual identity shape better results. The conversation covers pricing, client expectations, inconsistent logos, subscription costs, and why designers increasingly need to think like creative directors. Plus, Kaycee shares a moving personal story about creating an illustrated children’s book with AI to help her young children understand the loss of their family dog. In this episode:• Why generic AI output often misses a brand’s identity• How Claude, ChatGPT, Figma, and traditional design tools fit into an agency workflow• Why AI can save time on one project and expand the ambition of another• How clear communication helps creatives direct AI• What changing tools mean for training, hiring, and client relationships• How Bay Edge Media is developing its Brand BIOS approach Subscribe to Intelligence Resources for real stories from people using AI in their businesses, and tell us: Where has AI improved your creative process—and where do you still need a human eye? Chapters 00:00 Welcome to Intelligence Resources, Episode 1500:20 Meet Kaycee Zabko and Bay Edge Media01:57 From AI Skeptic to Hands-On Experimentation04:54 Why Design Experience Still Matters06:07 Brand DNA: Giving AI More Than Colors and a Logo07:41 When AI-Generated Client Briefs Create More Work10:01 Websites, Apps, and Bay Edge Media’s Development Team11:24 Technical Expertise and Website Security13:03 How AI Is Changing Agency Pricing14:29 Faster Setup, More Time for Design16:20 Keeping Designs Editable: Figma and Adobe18:14 Tool Fatigue, Testing, and Training a Creative Team21:35 Inconsistent Logos, Product Mockups, and AI Credit Costs23:30 Building in Pieces: Combining AI with Design Tools26:16 Giving AI Context for Each Client’s Brand27:42 Balancing Turnaround, Quality, and Client Expectations28:41 Does AI Save Time—or Lead to Bigger Ideas?30:24 Creative Resistance and Reviewing AI Output31:33 Spotting AI-Generated Images32:45 Why Designers Need to Become Creative Directors35:45 Communication, Visualization, and Better Prompting38:23 Brand Context and a Conversation-Based Workflow40:15 AI Obsession, Burnout, and Side Projects41:38 Hiring Designers in the AI Era44:47 Knowing Your Value as the Tools Improve46:32 AI Video, Higgsfield, and Planning Before Generating48:34 Small-Team Agility and Corporate AI Adoption51:29 AI Policies, Sensitive Data, and Financial Boundaries55:20 Using Claude to Support Ongoing Learning56:27 Bay Edge Media’s Brand BIOS Approach58:55 WordPress, Website Builders, and Custom Branding01:01:55 A Personal Story: Creating a Book After Losing a Family Dog01:04:59 Where to Find Kaycee and Closing Thoughts #ArtificialIntelligence #AI #GraphicDesign #Branding #CreativeDirector #ClaudeAI #ChatGPT #AIDesign #AIArt #SmallBusiness #MarketingAgency #Entrepreneurship #Figma #AITools

  4. Sep 29

    A Wealth CIO's AI Rules: Research Yes, Decisions No

    Vishail Singh, Chief Investment Officer at OneWealth Investors, joins Samantha Viola Wilson on Intelligence Resources to show how AI actually shows up inside a wealth practice — and where he draws a hard line. He walks through swapping Excel macros and half-day meeting prep for Claude market/macro research and Grok templates, why he won’t let AI pick stocks or “think for him,” and how robo-advisors already taught the industry that clients still want a human. They dig into compliance trails through meeting notes and Salesforce, research agents that run through Python to cut token burn, a private-market path for clients who keep asking how to get into OpenAI and Anthropic early, and personal experiments with Muse versus Grok on payments and guardrails. Connect with Vishail:LinkedIn: https://www.linkedin.com/in/vishailsingh/Email: vishail@onewealthinvestors.com If this episode was useful, comment with how you’re using AI at work, like the video, and subscribe for more real operator stories every Tuesday. Free prompts and playbooks: https://intelligenceresources.io CHAPTERS0:00 Welcome — Vishail Singh, CIO, OneWealth Investors1:05 Background: manufacturing → banking → wealth1:43 Before vs after AI: Excel macros to meeting-ready2:14 Stack: ChatGPT, Claude, Grok (and early Muse)3:10 Claude for daily market/macro research3:19 Grok for Excel and asset-allocation templates4:06 Contain AI to one task — don’t let it loop4:12 Mistakes, hallucinations, and broken Claude skills5:01 Human in the loop + finance parameters6:05 Why AI doesn’t choose the stocks7:01 Fake “investment committees” and Reddit risk8:05 Robo-advisors failed — clients still want humans9:51 Coaching behavior vs AI that just agrees with you11:43 Will fees drop? What AI still can’t do14:18 Half-day prep → ready before the morning meeting15:27 Compliance, Zoom note-takers, and audit trails17:32 Salesforce + AI search instead of Excel hunts18:43 In-person notes, templates, and wearables20:26 Grok Bot workflow and token burn21:02 Python + agents as a research team23:09 Fighting AI slop with tight outputs25:13 Grok in the car / Tesla and family reactions28:29 Industries most disrupted (law, robotics, biotech)32:01 Fund, SPVs, and private access to AI names34:41 “How do I invest in OpenAI / Anthropic?”35:11 Personal AI: Muse marketplace test + payment guardrails39:24 Muse vs Grok Bot UX41:11 Blend of models (and Chinese AI / IPOs)42:35 Where to find Vishail — like, comment, subscribe #ArtificialIntelligence #WealthManagement #FinTech #AIAgents #CIO #Investing #ClaudeAI #Grok #Productivity #Entrepreneurship

  5. Sep 22

    I Lived Through Y2K. AI Is Bigger. | Ex-Microsoft Leader Carmen Aviles Builds Agents for Businesses

    She lived through Y2K, sold for Microsoft, and bet early on the cloud. Now Carmen Aviles is building AI agents on a Mac mini, and she says this wave is bigger than all of them. Carmen Aviles has spent more than 40 years in tech. Her path runs from shipping e-learning on CDs across Latin America to SAP implementations during the Y2K panic, Microsoft's partner ecosystem, and one of South Florida's first Office 365 practices. Today she's the founder of Aviles AI and helps small and midsize businesses adopt AI without breaking what already works. Hosts Samantha Viola Wilson and Brittany George ask her what Y2K can teach us about the AI rush and whether AI will really take jobs in the next five years. They also get into how CEOs can get their teams to adopt it: role by role, with incentives, starting from the top. Carmen gives an honest account of building a six-agent real estate marketing system, including the cron job that burned $135 in one day. She explains how Jake Van Clief's Interpretable Context Methodology (ICM) brought her cost down to about $10 per run. IN THIS EPISODE: - How is the AI rush like Y2K, and how is it different? - Will AI replace jobs in the next 5 years? - How do you get employees to adopt AI? (role-based rollout) - Is Microsoft behind in AI? (Copilot, Copilot Studio, GitHub) - How do you cut AI agent token costs? - Cloud vs. local AI models: who owns your data? - Using NotebookLM as a personal AI tutor CHAPTERS 00:00 Meet Carmen Aviles ("Abuela") 00:53 Shipping e-learning on CDs across Latin America 02:23 Y2K, SAP, and the panic that looks like today's AI rush 05:16 Getting hired at Microsoft (via cassette voicemail) 07:11 Betting early on Office 365 and the cloud 09:40 First AI "wow": 2-hour research cut to 30 minutes 10:37 The OpenClaw obsession and a 6-agent marketing system 12:13 Y2K vs. AI: what's the same, what's different 13:40 Early adopters, proof-of-concept people, and skeptics 16:26 Will AI take jobs? Carmen's 5-year outlook 18:32 Kids, critical thinking, and AI in education 20:35 NotebookLM as a personal AI tutor 23:22 How CEOs get teams to adopt AI 25:28 Free Microsoft AI courses and the partner opportunity 27:55 AI adoption has to start at the top 29:30 Is Microsoft behind in AI? Copilot, models, GitHub 34:32 Copilot Studio inside Teams: worth $30 a month? 37:16 Token costs and the $135 cron job mistake 40:26 Building vs. monetizing: the honest update 43:09 ICM: the folders-and-files method that cut costs 46:53 Protecting your IP when vibe coding 48:07 Obsidian, Skool, and knowledge graphs 50:47 Cloud vs. local models: who owns your data? 54:44 AI glasses and DIY robots 58:13 Personal AI: ChatGPT for life, Claude for business 1:00:44 How to reach Carmen RESOURCES MENTIONED - OpenClaw - Interpretable Context Methodology by Jake Van Clief: https://arxiv.org/abs/2603.16021 - Clief Notes community on Skool: https://www.skool.com/cliefnotes - Google NotebookLM - Microsoft Copilot Studio - GitHub - Obsidian - Brilliant Labs Halo AI glasses CONNECT WITH CARMEN AVILES Business Optimization & Adoption Consultant | Founder, Aviles AI 🌐 https://avilesai.com 💼 LinkedIn: https://www.linkedin.com/in/carmenavilesaiconsulting/ 📸 Instagram: @caviles812 ✉️ carmen@avilesai.com 🏡 Buying or selling residential or commercial real estate in South Florida? Carmen is a licensed realtor. Reach out by email.

  6. Sep 15

    How AI Saved 69 Weeks of Work: AI Turns Experts Into Builders

    What if the hardest part of AI at work is not the model, butgetting a clear prompt and a repeatable process before you touch the fancytools?  In this episode of Intelligence Resources, Samantha ViolaWilson and Brittany George sit down with Gabor Kis, Business Systems Analyst in Change Management at DTCC, to walk how a longtime Xerox data architect reskilled into AI, won an internal hackathon on AWS Kiro, and now teachesbusiness builders to treat English as their coding language. Drawing on his experience spanning Xerox Business Solutionsdata architecture and change and release work at DTCC, Gabor shares the path from Google AI Studio interview prep into a six-week AI hackathon, why his teambet on Kiro, and how prompting plus named beginner-to-agentic stages (Aha, Mirage, AI Vampire, Synergy) beat tool-chasing. He tells the Grafana storybehind an app named Grace that took a week of work to about 45 seconds and helped reclaim roughly 69 weeks. The conversation covers AWS Kiro specs versus vibe coding,free credits and cost math versus heavy Claude Code bills, Copilot as a prompt workshop, CAB GPT prioritizing hundreds of weekly changes by blast radius, and a personal close: use AI to identify your attachment style and improve.   Connect with Gabor: https://www.linkedin.com/in/gaborkis   Intelligence Resources drops every Tuesday.   CHAPTERS 0:00 Welcome to Intelligence Resources with Samantha ViolaWilson and Brittany George 0:11 Brittany welcomes Gabor through daughter Grace 0:39 From Xerox data architect to DTCC change management 1:37 Google AI Studio interview prep and landing the role 2:05 Betting the hackathon on AWS Kiro 2:55 DTCC scale and why change management cannot fail 3:52 Winning the AI hackathon and starting to teach 5:29 English as the coding language for business builders 5:55 The aha moment and the Grafana project named Grace 7:22 How 45 seconds times 69 spreadsheets saved ~69 weeks 8:05 Hesitant colleagues and the AI adoption gradient 8:48 What is the most important AI skill? 9:00 Samantha and Brittany on prompting, process, andpatience 10:26 Prompting as communication, and why the tool mattersless at first 11:24 Cheat sheet: make the model write a 10-out-of-10prompt 13:02 Probabilistic answers, not perfect deterministic ones 13:56 Coursera tracks and the Vanderbilt prompting course 16:00 Stages: Aha, Mirage, AI Vampire, Synergy 17:41 Nine-agent software factory and Sonny the orchestrator 19:13 OpenClaw experiment, 8.5M tokens, and pulling the plug 21:25 What is AWS Kiro, and why enterprise stacks pickAmazon and Microsoft 23:14 Spec development versus vibe coding 24:37 Free credits, pricing tiers, and small-business costmath 27:09 Copilot aversion, and using Copilot as a promptworkshop 29:58 Change management: build it, they will come, teachteachers 32:20 CAB GPT hackathon deep dive: risk and blast radius 34:52 AI security fears for PHI, SSNs, and financial data 36:17 Post-quantum computing and harvest-now decrypt-later 38:17 What quantum computing means (the maze analogy) 40:04 When quantum and AI meet 42:31 Human in the loop, presence, and empathy 45:05 Always-on work, motherhood, and tech resentment 46:51 New stage: slave to the machine 49:51 Personal AI use: attachment style prompt 51:06 Close, LinkedIn CTA, and Tuesday goodbye   #AI #ChatGPT #AWS #Kiro #PromptEngineering#ArtificialIntelligence #FutureOfWork #ChangeManagement

  7. Sep 8

    AI Agents That Actually Work: How We’re Automating Business, Travel & Everyday Life

    What happens when AI stops being an experiment and starts becoming part of your everyday life? In Episode 10 of Intelligence Resources, Samantha Viola Wilson and Brittany George sit down for a candid co-host catch-up about the AI tools and agents they are actually using—and the lessons they learned from the ones that failed. They share how a missed backup led to lost websites and a major rethink of where their data lives, why complicated agent setups were not always worth the effort, and how newer tools are making automation feel more like working with a capable employee. From sales prospecting, CRM workflows, benefits guides, RFPs, and podcast production to grocery shopping, meal planning, travel itineraries, meeting follow-ups, and launching an Etsy store, this episode is packed with real examples of AI doing practical work. They also discuss the rising cost of AI subscriptions, the importance of keeping a human in the loop, how to turn repeatable workflows into reusable skills, and why small businesses may have a major advantage when they can move faster than larger organizations. If you are trying to figure out which AI tools are genuinely useful—and how to move from experimenting to executing—this episode is for you. Tell us in the comments: What task would you trust an AI agent to handle for you? Subscribe for more candid conversations about using AI in business and everyday life, and visit intelligenceresources.io for resources and free prompts. CHAPTERS 00:00 Just the two of us00:44 Losing two websites and the backup lesson05:24 Choosing the right AI for each job08:11 What we really spend on AI09:10 Why complicated AI agents kept breaking12:06 Setting up a working agent in minutes15:06 Meal planning and the 30-avocado mistake18:45 Launching 55 Etsy products with AI20:20 The AI travel agent that saved a birthday trip24:52 Cleaning email and tracking subscriptions26:58 Building a CFO agent28:37 Turning an Excel budget into a custom app31:10 A task manager built around real work34:51 Map the workflow before building the bot36:54 Turning repeatable work into reusable skills40:50 The voice tool Brittany recommends most41:27 Building an enrollment dashboard in 30 minutes44:30 The small-business advantage with AI45:58 From meeting transcripts to automatic follow-ups46:42 Building an AI agent for RFPs49:02 AI support for parenting and homeschooling50:28 Automating the podcast workflow53:11 Should Intelligence Resources host a live event?53:44 Final thoughts and listener feedback #IntelligenceResources #AIAgents #ArtificialIntelligence #BusinessAutomation #AIForBusiness #SmallBusinessAI #WorkflowAutomation #GenerativeAI #FutureOfWork #Productivity #Entrepreneurship #AITools #DigitalTransformation #WomenInBusiness

About

Intelligence Resources is a podcast for entrepreneurs, professionals, and everyday AI adopters who want to understand how AI is actually being used in the real world. Hosted by Brittany George and Samantha Viola Wilson, each episode explores practical AI tools, real-world use cases, and conversations with founders, operators, and innovators at the forefront of change. From business growth and productivity to the future of work, Intelligence Resources helps listeners cut through the hype and discover actionable ways to leverage AI in their careers, businesses, and everyday lives.