In this conversation, Brandon Laws sits down with Fritz Brumder, serial entrepreneur and co-founder of WiseOx, to explore how “AI mascots” are helping organizations move from one-off ChatGPT experiments to secure, organization-wide automation. Fritz explains why legacy chatbots struggled, how large-language-model (LLM) technology unlocks far richer support and HR workflows, and what an 80/20 security model looks like in practice. They also discuss practical first-steps for leaders, new skills employees should cultivate, and a realistic one-, two-, and ten-year outlook on AI’s impact on talent and trust at work. If you’re AI-curious but cautious about compliance, this episode offers a roadmap—and a few reality checks—to get started.
Key Timestamps
| Time stamp | Topic |
|---|---|
| 00:00 | Welcome, show purpose, and Xenium HR sponsor read |
| 02:00 | Introducing Fritz Brumder and the concept of “AI mascots” at WiseOx |
| 03:30 | Fritz’s startup journey, timing the leap from video tech to GenAI |
| 07:00 | Chatbots 1.0 vs. LLM-powered assistants—what changed and why it matters |
| 11:00 | Training an AI on SOPs, policies, and compliance docs: HR use cases |
| 15:00 | Internal roll-outs first, then customer-facing support and sales assistants |
| 18:00 | Beyond chat: email, voice, multilingual interaction, and task automation |
| 22:00 | Data privacy & the 80/20 security model (private vector store + LLM) |
| 26:00 | Pricing, five-step implementation path, and change-management tips |
| 30:00 | Future-proof skills: clear problem-solving, prompt design, creative thinking |
| 33:00 | 1-, 2-, and 10-year AI forecasts—why pace feels fast but adoption is a decade-long shift |
| 34:30 | Workflow examples: AI-driven applicant screening and onboarding |